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

Computer Vision, Imaging and Computer Graphics Theory and Applications - 10th International Joint Conference, VISIGRAPP 2015,... Computer Vision, Imaging and Computer Graphics Theory and Applications - 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers (Paperback, 1st ed. 2016)
Jose Braz, Julien Pettre, Paul Richard, Andreas Kerren, Lars Linsen, …
R2,905 Discovery Miles 29 050 Ships in 10 - 15 working days

This book constitutes thoroughly revised and selected papers from the 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2015, held in Berlin, Germany, in March 2015. VISIGRAPP comprises GRAPP, International Conference on Computer Graphics Theory and Applications; IVAPP, International Conference on Information Visualization Theory and Applications; and VISAPP, International Conference on Computer Vision Theory and Applications. The 23 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 529 submissions. The book also contains one invited talk in full-paper length. The regular papers were organized in topical sections named: computer graphics theory and applications; information visualization theory and applications; and computer vision theory and applications.

Data Mining In Time Series And Streaming Databases (Hardcover): Mark Last, Horst Bunke, Abraham Kandel Data Mining In Time Series And Streaming Databases (Hardcover)
Mark Last, Horst Bunke, Abraham Kandel
R2,338 Discovery Miles 23 380 Ships in 10 - 15 working days

This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.

Knowledge Management in Organizations - 10th International Conference, KMO 2015, Maribor, Slovenia, August 24-28, 2015,... Knowledge Management in Organizations - 10th International Conference, KMO 2015, Maribor, Slovenia, August 24-28, 2015, Proceedings (Paperback, 1st ed. 2015)
Lorna Uden, Marjan Hericko, I-Hsien Ting
R1,680 Discovery Miles 16 800 Ships in 10 - 15 working days

This book contains the refereed proceedings of the 10th International Conference on Knowledge Management in Organizations, KMO 2015, held in Maribor, Slovenia, in August 2015. The theme of the conference was "Knowledge Management and Internet of Things." The KMO conference brings together researchers and developers from industry and academia to discuss how knowledge management using big data can improve innovation and competitiveness. The 59 contributions accepted for KMO 2015 were selected from 163 submissions and are organized in topical sections on: knowledge management processes, successful knowledge sharing and knowledge management practices, innovations for competitiveness, knowledge management platforms and tools, social networks and mining techniques, knowledge management and the Internet of Things, knowledge management in health care, and knowledge management in education and research.

Managing and Mining Sensor Data (Paperback, 2013 ed.): Charu C. Aggarwal Managing and Mining Sensor Data (Paperback, 2013 ed.)
Charu C. Aggarwal
R3,003 Discovery Miles 30 030 Ships in 10 - 15 working days

Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Asia Pacific Business Process Management - Third Asia Pacific Conference, AP-BPM 2015, Busan, South Korea, June 24-26, 2015,... Asia Pacific Business Process Management - Third Asia Pacific Conference, AP-BPM 2015, Busan, South Korea, June 24-26, 2015, Proceedings (Paperback, 2015 ed.)
Joonsoo Bae, Suriadi Suriadi, Lijie Wen
R2,078 Discovery Miles 20 780 Ships in 10 - 15 working days

This book constitutes the proceedings of the Third Asia Pacific Conference on Business Process Management held in Busan, South Korea, in June 2015. Overall, 37 contributions from ten countries were submitted. After each submission was reviewed by at least three Program Committee members, 12 full and two short papers were accepted for publication in this volume. These papers cover various topics and are categorized under four main research focuses in BPM: advancement in workflow technologies, resources allocation strategies, process mining, and emerging topics in BPM.

Bash for Data Scientists (Paperback): Oswald Campesato Bash for Data Scientists (Paperback)
Oswald Campesato
R1,432 R1,179 Discovery Miles 11 790 Save R253 (18%) Ships in 10 - 15 working days

Introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher.

Hyperspectral Image Fusion (Paperback, 2013 ed.): Subhasis Chaudhuri, Ketan Kotwal Hyperspectral Image Fusion (Paperback, 2013 ed.)
Subhasis Chaudhuri, Ketan Kotwal
R3,418 Discovery Miles 34 180 Ships in 10 - 15 working days

Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.

Trust-based Collective View Prediction (Paperback, Softcover reprint of the original 1st ed. 2013): Tiejian Luo, Su Chen,... Trust-based Collective View Prediction (Paperback, Softcover reprint of the original 1st ed. 2013)
Tiejian Luo, Su Chen, Guandong Xu, Jia Zhou
R3,281 Discovery Miles 32 810 Ships in 10 - 15 working days

Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They generate predictions by analyzing the text features of the target object or the similarity of users' past behaviors. Still, these techniques are vulnerable to the artificially-injected noise data, because they are not able to judge the reliability and credibility of the information sources. Trust-based Collective View Prediction describes new approaches for tackling this problem by utilizing users' trust relationships from the perspectives of fundamental theory, trust-based collective view prediction algorithms and real case studies. The book consists of two main parts - a theoretical foundation and an algorithmic study. The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental analysis, collective view, trust management, the Relationship of Collective View and Trustworthy, and trust in collective view prediction. In the second part, the authors present their models and algorithms based on a quantitative analysis of more than 300 thousand users' data from popular product-reviewing websites. They also introduce two new trust-based prediction algorithms, one collaborative algorithm based on the second-order Markov random walk model, and one Bayesian fitting model for combining multiple predictors. The discussed concepts, developed algorithms, empirical results, evaluation methodologies and the robust analysis framework described in Trust-based Collective View Prediction will not only provide valuable insights and findings to related research communities and peers, but also showcase the great potential to encourage industries and business partners to integrate these techniques into new applications.

Pattern Recognition and Machine Intelligence - 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3,... Pattern Recognition and Machine Intelligence - 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings (Paperback, 2015 ed.)
Marzena Kryszkiewicz, Sanghamitra Bandyopadhyay, Henryk Rybinski, Sankar K. Pal
R3,238 Discovery Miles 32 380 Ships in 10 - 15 working days

This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.

Decision Support Systems V - Big Data Analytics for Decision Making - First International Conference, ICDSST 2015, Belgrade,... Decision Support Systems V - Big Data Analytics for Decision Making - First International Conference, ICDSST 2015, Belgrade, Serbia, May 27-29, 2015, Proceedings (Paperback, 2015 ed.)
Boris Delibasic, Jorge E. Hernandez, Jason Papathanasiou, Fatima Dargam, Pascale Zarate, …
R1,837 Discovery Miles 18 370 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was "Big Data Analytics for Decision-Making" and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.

Semantic Web and Web Science (Paperback, Softcover reprint of the original 1st ed. 2013): Juanzi Li, Guilin Qi, Dongyan Zhao,... Semantic Web and Web Science (Paperback, Softcover reprint of the original 1st ed. 2013)
Juanzi Li, Guilin Qi, Dongyan Zhao, Wolfgang Nejdl, Hai-Tao Zheng
R6,720 Discovery Miles 67 200 Ships in 10 - 15 working days

The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.

Abstraction in Artificial Intelligence and Complex Systems (Paperback, 2013 ed.): Lorenza Saitta, Jean-Daniel Zucker Abstraction in Artificial Intelligence and Complex Systems (Paperback, 2013 ed.)
Lorenza Saitta, Jean-Daniel Zucker
R4,257 Discovery Miles 42 570 Ships in 10 - 15 working days

Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.

The People's Web Meets NLP - Collaboratively Constructed Language Resources (Paperback, 2013 ed.): Iryna Gurevych, Jungi... The People's Web Meets NLP - Collaboratively Constructed Language Resources (Paperback, 2013 ed.)
Iryna Gurevych, Jungi Kim; Foreword by Nicoletta Calzolari
R3,981 Discovery Miles 39 810 Ships in 10 - 15 working days

Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources. This book aims offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as the main text and as a supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.

Data Science, Learning by Latent Structures, and Knowledge Discovery (Paperback): Berthold Lausen, Sabine Krolak-Schwerdt,... Data Science, Learning by Latent Structures, and Knowledge Discovery (Paperback)
Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Boehmer
R5,973 Discovery Miles 59 730 Ships in 10 - 15 working days

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI - Special Issue on Data Warehousing and Knowledge... Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI - Special Issue on Data Warehousing and Knowledge Discovery (Paperback, 1st ed. 2016)
Abdelkader Hameurlain, Josef Kung, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.This volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

Community Structure of Complex Networks (Paperback, 2013 ed.): Hua-Wei Shen Community Structure of Complex Networks (Paperback, 2013 ed.)
Hua-Wei Shen
R3,200 Discovery Miles 32 000 Ships in 10 - 15 working days

Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will comprehensively introduce the latest advances in community detection, especially the detection of overlapping and hierarchical community structures, the detection of multi-scale communities in heterogeneous networks, and the exploration of multiple types of structural regularities. These advances have been successfully applied to analyze large-scale online social networks, such as Facebook and Twitter. This book provides readers a convenient way to grasp the cutting edge of community detection in complex networks. The thesis on which this book is based was honored with the "Top 100 Excellent Doctoral Dissertations Award" from the Chinese Academy of Sciences and was nominated as the "Outstanding Doctoral Dissertation" by the Chinese Computer Federation.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV (Paperback, 1st ed. 2016): Abdelkader Hameurlain, Josef... Transactions on Large-Scale Data- and Knowledge-Centered Systems XXV (Paperback, 1st ed. 2016)
Abdelkader Hameurlain, Josef Kung, Roland Wagner
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This, the 25th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully revised selected papers focusing on data and knowledge management systems. Topics covered include a framework consisting of two heuristics with slightly different characteristics to compute the action rating of data stores, a theoretical and experimental study of filter-based equijoins in a MapReduce environment, a constraint programming approach based on constraint reasoning to study the view selection and data placement problem given a limited amount of resources, a formalization and an approximate algorithm to tackle the problem of source selection and query decomposition in federations of SPARQL endpoints, and a matcher factory enabling the generation of a dedicated schema matcher for a given schema matching scenario.

Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International... Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part I (Paperback, 2015 ed.)
Hoai An Le Thi, Tao Pham Dinh, Ngoc Thanh Nguyen
R4,422 Discovery Miles 44 220 Ships in 10 - 15 working days

This proceedings set contains 85 selected full papers presented at the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11-13, 2015 at Lorraine University, France. The present part I of the 2 volume set includes articles devoted to Combinatorial optimization and applications, DC programming and DCA: thirty years of Developments, Dynamic Optimization, Modelling and Optimization in financial engineering, Multiobjective programming, Numerical Optimization, Spline Approximation and Optimization, as well as Variational Principles and Applications.

The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis (Paperback, 2015... The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis (Paperback, 2015 ed.)
Michael Nofer
R1,827 Discovery Miles 18 270 Ships in 10 - 15 working days

Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.

Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International... Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part II (Paperback, 2015 ed.)
Hoai An Le Thi, Tao Pham Dinh, Ngoc Thanh Nguyen
R5,789 Discovery Miles 57 890 Ships in 10 - 15 working days

This proceedings set contains 85 selected full papers presentedat the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11-13, 2015 at Lorraine University, France. The present part II of the 2 volume set includes articles devoted to Data analysis and Data mining, Heuristic / Meta heuristic methods for operational research applications, Optimization applied to surveillance and threat detection, Maintenance and Scheduling, Post Crises banking and eco-finance modelling, Transportation, as well as Technologies and methods for multi-stakeholder decision analysis in public settings.

Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014,... Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers (Paperback, 1st ed. 2015)
Paolo Ceravolo, Barbara Russo, Rafael Accorsi
R1,860 Discovery Miles 18 600 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.

Data Acquisition Systems - From Fundamentals to Applied Design (Paperback, 2013 ed.): Maurizio Di Paolo Emilio Data Acquisition Systems - From Fundamentals to Applied Design (Paperback, 2013 ed.)
Maurizio Di Paolo Emilio
R3,023 Discovery Miles 30 230 Ships in 10 - 15 working days

This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer. The author takes a problem-solving approach to data acquisition, providing the tools engineers need to use the concepts introduced. Coverage includes sensors that convert physical parameters to electrical signals, signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values and analog-to-digital converters, which convert conditioned sensor signals to digital values. Readers will benefit from the hands-on approach, culminating with data acquisition projects, including hardware and software needed to build data acquisition systems.

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications (Paperback, 2013 ed.): Dmitri A. Viattchenin A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications (Paperback, 2013 ed.)
Dmitri A. Viattchenin
R3,510 Discovery Miles 35 100 Ships in 10 - 15 working days

The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover, a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdani's fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIV - Special Issue on Database- and Expert-Systems... Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIV - Special Issue on Database- and Expert-Systems Applications (Paperback, 1st ed. 2016)
Abdelkader Hameurlain, Josef Kung, Roland Wagner, Hendrik Decker, Lenka Lhotska, …
R2,147 Discovery Miles 21 470 Ships in 10 - 15 working days

This, the 24th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers presented at the 25th International Conference on Database and Expert Systems Applications, DEXA 2014, held in Munich, Germany, in September 2014. Following the conference, and two further rounds of reviewing and selection, six extended papers and one invited keynote paper were chosen for inclusion in this special issue. Topics covered include systems modeling, similarity search, bioinformatics, data pricing, k-nearest neighbor querying, database replication, and data anonymization.

Intelligent Knowledge - A Study beyond Data Mining (Paperback, 2015 ed.): Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li Intelligent Knowledge - A Study beyond Data Mining (Paperback, 2015 ed.)
Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li
R2,012 Discovery Miles 20 120 Ships in 10 - 15 working days

This book is mainly about an innovative and fundamental method called "intelligent knowledge" to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the "first-order" analytic process, "second-order" analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

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