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Books > Computing & IT > Applications of computing > Databases > Data mining

Data-Driven Mining, Learning and Analytics for Secured Smart Cities - Trends and Advances (Paperback, 1st ed. 2021): Chinmay... Data-Driven Mining, Learning and Analytics for Secured Smart Cities - Trends and Advances (Paperback, 1st ed. 2021)
Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab
R2,543 Discovery Miles 25 430 Ships in 12 - 17 working days

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Mining of Massive Datasets (Hardcover, 3rd Revised edition): Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman Mining of Massive Datasets (Hardcover, 3rd Revised edition)
Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman
R1,967 Discovery Miles 19 670 Ships in 9 - 15 working days

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

Bio-Inspired Systems: Computational and Ambient Intelligence - 10th International Work-Conference on Artificial Neural... Bio-Inspired Systems: Computational and Ambient Intelligence - 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I (Paperback, 2009 ed.)
Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan Manuel Corchado Rodriguez
R4,722 Discovery Miles 47 220 Ships in 10 - 15 working days

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference "International Work-Conference on Artificial neural Networks" held in Salamanca (Spain) during June 10-12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.

Intelligent Mobile Service Computing (Hardcover, 1st ed. 2021): Honghao Gao, Yuyu Yin Intelligent Mobile Service Computing (Hardcover, 1st ed. 2021)
Honghao Gao, Yuyu Yin
R1,329 R823 Discovery Miles 8 230 Save R506 (38%) Ships in 9 - 15 working days

This book discusses recent research and applications in intelligent service computing in mobile environments. The authors first explain how advances in artificial intelligence and big data have allowed for an array of intelligent services with complex and diverse applications. They then show how this brings new opportunities and challenges for service computing. The book, made up of contributions from academic and industry, aims to present advances in intelligent services, new algorithms and techniques in the field, foundational theory and systems, as well as practical real-life applications. Some of the topics discussed include cognition, modeling, description and verification for intelligent services; discovery, recommendation and selection for intelligent services; formal verification, testing and inspection for intelligent services; and composition and cooperation methods for intelligent services.

Emerging Technologies in Data Mining and Information Security - Proceedings of IEMIS 2020, Volume 3 (Paperback, 1st ed. 2021):... Emerging Technologies in Data Mining and Information Security - Proceedings of IEMIS 2020, Volume 3 (Paperback, 1st ed. 2021)
Joao Manuel R.S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak
R5,023 Discovery Miles 50 230 Ships in 12 - 17 working days

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.

Real-World Wireless Sensor Networks - 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010,... Real-World Wireless Sensor Networks - 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010, Proceedings (Paperback, 2010 ed.)
Pedro Jose Marron, Thiemo Voigt, Peter Corke, Luca Mottola
R1,497 Discovery Miles 14 970 Ships in 10 - 15 working days

Welcome to the proceedings of REALWSN 2010, the 4th Workshop on Real- World Wireless Sensor Networks! After threemeetings in Europewedecided to holdREALWSN in exciting Sri Lanka. We want to thank the local organizers as well as the authors, attendees and members of the technical ProgramCommittee, Demo and Poster Chairs for making this event possible. As the name of the workshop suggests, REALWSN is a forum for people interested in real-world issues in the fascinating research area of wireless sensor networks.Despite many yearsofresearchthe deploymentof realsensornetworks isstillachallengingtask.Thebehaviorofrealdeployednetworksdi?erssubst- tially from the behavior of the same network in a simulator. The main objective of REALWSN is to bring together researchers and practitioners to understand these di?erences and boost the state of the art in this exciting ?eld. This year the program consisted of 11 full papers and ?ve short papers ca- fullyselectedfromover34submissions.SinceREALWSN2010wasastand-alone two-day event, the attendees could also look forward to a poster and demo s- sion with more than 10 contributions. The technical program covered topics from low-level communication and software development to a variety of re- worldsensor networkapplications,some of them tailoredto Asian wildlife which we think is particularly interesting. Thanks again to all people who contributed to the workshop: the Technical ProgramCommittee,thedemoandposterchairsKameswariChebroluandAdam Dunkels, the Publication Chair Luca Mottola and our sponsors that include the UniversityofColombo,theUppsalaVINNExcellenceCenterforWirelessSensor NetworksWISENET,InterBlocksLtd.andtheSustainableComputingResearch Group at the University of Colombo. The local Organizing Committee provided tremendous help that made REALWSN possible.

Data structures based on linear relations (Paperback): Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Xiang Ji Data structures based on linear relations (Paperback)
Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Xiang Ji
R1,634 Discovery Miles 16 340 Ships in 12 - 17 working days

Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.

Interpreting Discrete Choice Models (Paperback): Garrett Glasgow Interpreting Discrete Choice Models (Paperback)
Garrett Glasgow
R549 Discovery Miles 5 490 Ships in 9 - 15 working days

In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the "substantive effects") of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here.

Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30,... Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part I (Paperback, 1st ed. 2022)
Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski, …
R2,463 Discovery Miles 24 630 Ships in 12 - 17 working days

This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held Ho Chi Minh City, Vietnam in November 2022.The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 submissions. The papers of the 2 volume-set are organized in the following topical sections: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0. The accepted and presented papers focus on new trends and challenges facing the intelligent information and database systems community.

Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data (Hardcover, 2nd ed. 2020): Michael R. Berthold,... Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data (Hardcover, 2nd ed. 2020)
Michael R. Berthold, Christian Borgelt, Frank Hoeppner, Frank Klawonn, Rosaria Silipo
R2,076 R1,935 Discovery Miles 19 350 Save R141 (7%) Ships in 9 - 15 working days

Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website. This practical and systematic textbook/reference is a "need-to-have" tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a "need to use, need to keep" resource following one's exploration of the subject.

Smart Information Systems - Computational Intelligence for Real-Life Applications (Hardcover, 2015 ed.): Frank Hopfgartner Smart Information Systems - Computational Intelligence for Real-Life Applications (Hardcover, 2015 ed.)
Frank Hopfgartner
R3,327 R1,908 Discovery Miles 19 080 Save R1,419 (43%) Ships in 12 - 17 working days

This text presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational manufacturers, service companies, and the public sector. Features: provides a state-of-the-art introduction to the field, integrating contributions from both academia and industry; reviews novel information aggregation services; discusses personalization and recommendation systems; examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world.

Machine Learning for Data Science Handbook - Data Mining and Knowledge Discovery Handbook (Hardcover, 3rd ed. 2023): Lior... Machine Learning for Data Science Handbook - Data Mining and Knowledge Discovery Handbook (Hardcover, 3rd ed. 2023)
Lior Rokach, Oded Maimon, Erez Shmueli
R7,240 Discovery Miles 72 400 Ships in 10 - 15 working days

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Big Data - 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings (Paperback, 1st ed. 2022):... Big Data - 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings (Paperback, 1st ed. 2022)
Tianrui Li, Rui MAO, Guoyin Wang, Fei Teng, Lei Zhang, …
R1,725 Discovery Miles 17 250 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, China, in November 2022. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.

Graphical Models - Methods for Data Analysis and Mining 2e (Hardcover, 2nd Edition): C Borgelt Graphical Models - Methods for Data Analysis and Mining 2e (Hardcover, 2nd Edition)
C Borgelt
R2,783 Discovery Miles 27 830 Ships in 12 - 17 working days

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of "Graphical Models" is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.

Advancing Sports and Exercise via Innovation - Proceedings of the 9th Asian South Pacific Association of Sport Psychology... Advancing Sports and Exercise via Innovation - Proceedings of the 9th Asian South Pacific Association of Sport Psychology International Congress (ASPASP) 2022, Kuching, Malaysia (Hardcover, 1st ed. 2023)
Garry Kuan, Yu-Kai Chang, Tony Morris, Teo Eng Wah, Rabiu Muazu Musa, …
R7,730 Discovery Miles 77 300 Ships in 10 - 15 working days

This book presents the proceedings of the 9th Asian South Pacific Association of Sport Psychology International Congress (ASPASP) 2022, Kuching, Malaysia, which entails the different sporting innovation themes, namely, Applied Sport and Social Psychology, Health and Exercise, Motor Control and Learning, Counselling and Clinical Psychology, Biomechanics, Data Mining and Machine Learning in Sports amongst others. It presents the state-of-the-art technological advancements towards the aforesaid themes and provides a platform to shape the future direction of sport science, specifically in the field sports and exercise psychology.  ​

Formal Methods for the Analysis of Biomedical Ontologies (Hardcover, 1st ed. 2022): Guo-Qiang Zhang, Rashmie Abeysinghe, Licong... Formal Methods for the Analysis of Biomedical Ontologies (Hardcover, 1st ed. 2022)
Guo-Qiang Zhang, Rashmie Abeysinghe, Licong Cui
R1,803 Discovery Miles 18 030 Ships in 10 - 15 working days

The book synthesizes research on the analysis of biomedical ontologies using formal concept analysis, including through auditing, curation, and enhancement. As the evolution of biomedical ontologies almost inevitably involves manual work, formal methods are a particularly useful tool for ontological engineering and practice, particularly in uncovering unexpected "bugs" and content materials. The book first introduces simple but formalized strategies for discovering undesired and incoherent patterns in ontologies before exploring the application of formal concept analysis for semantic completeness. The book then turns to formal concept analysis, a classical approach used in the mathematical treatment of orders and lattices, as an ontological engineering principle, focusing on the structural property of ontologies with respect to its conformation to lattice or not (non-lattice). The book helpfully covers the development of more efficient algorithms for non-lattice detection and extraction required by exhaustive lattice/non-lattice analysis. The book goes on to highlight the power and utility of uncovering non-lattice structure for debugging ontologies and describes methods that leverage the linguistic information in concept names (labels) for ontological analysis. It also addresses visualization and performance evaluation issues before closing with an overview and forward-looking perspectives on the field. This book is intended for graduate students and researchers interested in biomedical ontologies and their applications. It can be a useful supplement for courses on knowledge representation and engineering and also provide readers with a reference for related scientific publications and literature to assist in identifying potential research topics. All mathematical concepts and notations used in this book can be found in standard discrete mathematics textbooks, and the appendix at the end of the book provides a list of key ontological resources, as well as annotated non-lattice and lattice examples that were discovered using the authors' methods, demonstrating how "bugs are fixed" by converting non-lattices to lattices with minimal edit changes.

Graph Learning for Fashion Compatibility Modeling (Hardcover, 2nd ed. 2022): Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang... Graph Learning for Fashion Compatibility Modeling (Hardcover, 2nd ed. 2022)
Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
R2,379 Discovery Miles 23 790 Ships in 10 - 15 working days

This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling. Due to its remarkable economic value, fashion compatibility modeling has gained increasing research attention in recent years. Although great efforts have been dedicated to this research area, previous studies mainly focused on fashion compatibility modeling for outfits that only involved two items and overlooked the fact that each outfit may be composed of a variable number of items. This book develops a series of graph-learning based outfit compatibility modeling schemes, all of which have been proven to be effective over several public real-world datasets. This systematic approach benefits readers by introducing the techniques for compatibility modeling of outfits that involve a variable number of composing items. To deal with the challenging task of outfit compatibility modeling, this book provides comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning. Moreover, this book sheds light on research frontiers that can inspire future research directions for scientists and researchers.

Sharing Economy and Big Data Analytics (Hardcover): S Sedkaoui Sharing Economy and Big Data Analytics (Hardcover)
S Sedkaoui
R3,881 Discovery Miles 38 810 Ships in 12 - 17 working days

The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.

IOT with Smart Systems - Proceedings of ICTIS 2022, Volume 2 (Hardcover, 1st ed. 2023): Jyoti Choudrie, Parikshit Mahalle,... IOT with Smart Systems - Proceedings of ICTIS 2022, Volume 2 (Hardcover, 1st ed. 2023)
Jyoti Choudrie, Parikshit Mahalle, Thinagaran Perumal, Amit Joshi
R5,845 Discovery Miles 58 450 Ships in 10 - 15 working days

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Emerging Technologies in Data Mining and Information Security - Proceedings of IEMIS 2022, Volume 3 (Paperback, 1st ed. 2023):... Emerging Technologies in Data Mining and Information Security - Proceedings of IEMIS 2022, Volume 3 (Paperback, 1st ed. 2023)
Paramartha Dutta, Abhishek Bhattacharya, Soumi Dutta, Wen-Cheng Lai
R5,786 Discovery Miles 57 860 Ships in 10 - 15 working days

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23-25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.

Data Management, Analytics and Innovation - Proceedings of ICDMAI 2022 (Hardcover, 1st ed. 2023): Saptarsi Goswami, Inderjit ... Data Management, Analytics and Innovation - Proceedings of ICDMAI 2022 (Hardcover, 1st ed. 2023)
Saptarsi Goswami, Inderjit Singh Barara, Amol Goje, C Mohan, Alfred M. Bruckstein
R5,818 Discovery Miles 58 180 Ships in 10 - 15 working days

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14-16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Argument Mining - Linguistic Foundations (Hardcover): M Janier Argument Mining - Linguistic Foundations (Hardcover)
M Janier
R3,874 Discovery Miles 38 740 Ships in 12 - 17 working days

This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.

Kernel Ridge Regression in Clinical Research (Hardcover, 1st ed. 2022): Ton J. Cleophas, Aeilko H. Zwinderman Kernel Ridge Regression in Clinical Research (Hardcover, 1st ed. 2022)
Ton J. Cleophas, Aeilko H. Zwinderman
R2,934 Discovery Miles 29 340 Ships in 10 - 15 working days

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR). It is an extension of the currently available regression methods, and is suitable for pattern recognition in high dimensional data, particularly, when alternative methods fail. Its theoretical advantages are plenty and include the kernel trick for reduced arithmetic complexity, estimation of uncertainty by Gaussians unlike histograms, corrected data-overfit by ridge regularization, availability of 8 alternative kernel density models for datafit. A very exciting and wide array of preliminary KRR research has already been published by major disciplines (like studies in quantum mechanics and nuclear physics, studies of molecular affinity / dynamics, atomisation energy studies, but also forecasting economics studies, IoT (internet of things) studies for e-networks, plant stress response studies, big data streaming studies, etc). In contrast, it is virtually unused in clinical research. This edition is the first textbook and tutorial of kernel ridge regressions for medical and healthcare students as well as recollection / update bench, and help desk for professionals. Each chapter can be studied as a standalone, and, using, real as well as hypothesized data, it tests the performance of the novel methodology against traditional regression analyses. Step by step analyses of over 20 data files stored at Supplementary Files at Springer Interlink are included for self-assessment. We should add that the authors are well qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015) and Professor Cleophas is past-president of the American College of Angiology (2000-2002). From their expertise they should be able to make adequate selections of modern KRR methods for the benefit of physicians, students, and investigators. The authors have been working and publishing together for 24 years and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics.

Proceedings of International Conference on Data Science and Applications - ICDSA 2022, Volume 1 (Paperback, 1st ed. 2023):... Proceedings of International Conference on Data Science and Applications - ICDSA 2022, Volume 1 (Paperback, 1st ed. 2023)
Mukesh Saraswat, Chandreyee Chowdhury, Chintan Kumar Mandal, Amir H Gandomi
R5,586 Discovery Miles 55 860 Ships in 12 - 17 working days

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Agents and Multi-Agent Systems: Technologies and Applications 2022 - Proceedings of 16th KES International Conference,... Agents and Multi-Agent Systems: Technologies and Applications 2022 - Proceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022 (Hardcover, 1st ed. 2022)
Gordan Jezic, Yun-Heh Jessica Chen-Burger, Mario Kusek, Roman Sperka, Robert J. Howlett, …
R6,420 Discovery Miles 64 200 Ships in 10 - 15 working days

The book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 16th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2022), held at Rhodes, Greece in June 20-22, 2022. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy.

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