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Books > Computing & IT > Applications of computing > Databases > Data capture & analysis

Spatio-Temporal Graph Data Analytics (Hardcover, 1st ed. 2017): Venkata M. V. Gunturi, Shashi Shekhar Spatio-Temporal Graph Data Analytics (Hardcover, 1st ed. 2017)
Venkata M. V. Gunturi, Shashi Shekhar
R3,365 Discovery Miles 33 650 Ships in 10 - 15 working days

This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively capture these semantics, while ensuring support for computationally scalable algorithms. In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area. This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.

Data Mining and Knowledge Discovery Technologies (Hardcover): David Taniar Data Mining and Knowledge Discovery Technologies (Hardcover)
David Taniar
R2,852 Discovery Miles 28 520 Ships in 10 - 15 working days

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the opportunity and necessity to utilize this information to maintain competitive advantage and process information effectively in real-world situations. Data Mining and Knowledge Discovery Technologies presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.

Big and Complex Data Analysis - Methodologies and Applications (Hardcover, 1st ed. 2017): S. Ejaz Ahmed Big and Complex Data Analysis - Methodologies and Applications (Hardcover, 1st ed. 2017)
S. Ejaz Ahmed
R4,414 Discovery Miles 44 140 Ships in 12 - 19 working days

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.

Data Mining Applications for Empowering Knowledge Societies (Hardcover): Hakikur Rahman Data Mining Applications for Empowering Knowledge Societies (Hardcover)
Hakikur Rahman
R4,970 Discovery Miles 49 700 Ships in 10 - 15 working days

Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by various multi-dimensional applications. Data Mining Applications for Empowering Knowledge Societies presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues. This comprehensive book also provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Streaming Analytics - Concepts, architectures, platforms, use cases and applications (Hardcover): Pethuru Raj, Chellammal... Streaming Analytics - Concepts, architectures, platforms, use cases and applications (Hardcover)
Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan, George Ghinea
R3,739 R3,368 Discovery Miles 33 680 Save R371 (10%) Ships in 10 - 15 working days

When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights. The authors articulate and accentuate the challenges widely associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases across cloud system operations in transportation and cyber security and other business domains. The book will be of interest to ICTs industry and academic researchers, scientists and engineers as well as lecturers and advanced students in the fields of data science, cloud/fog/edge architecture, internet of things and artificial intelligence and related fields of applications. It will also be useful to cloud/edge/fog and IoT architects, analytics professionals, IT operations teams and site reliability engineers (SREs).

Enterprise Systems Integration - A Process-Oriented Approach (Hardcover, 2013 ed.): Diogo R. Ferreira Enterprise Systems Integration - A Process-Oriented Approach (Hardcover, 2013 ed.)
Diogo R. Ferreira
R3,046 Discovery Miles 30 460 Ships in 12 - 19 working days

The field of enterprise systems integration is constantly evolving, as every new technology that is introduced appears to make all previous ones obsolete. Despite this continuous evolution, there is a set of underlying concepts and technologies that have been gaining an increasing importance in this field. Examples are asynchronous messaging through message queues, data and application adapters based on XML and Web services, the principles associated with the service-oriented architecture (SOA), service composition, orchestrations, and advanced mechanisms such as correlations and long-running transactions. Today, these concepts have reached a significant level of maturity and they represent the foundation over which most integration platforms have been built.

This book addresses integration with a view towards supporting business processes. From messaging systems to data and application adapters, and then to services, orchestrations, and choreographies, the focus is placed on the connection between systems and business processes, and particularly on how it is possible to develop an integrated application infrastructure in order to implement the desired business processes. For this purpose, the text follows a layered, bottom-up approach, with application-oriented integration at the lowest level, followed by service-oriented integration and finally completed by process-oriented integration at the topmost level. The presentation of concepts is accompanied by a set of instructive examples using state-of-the-art technologies such as Java Message Service (JMS), Microsoft Message Queuing (MSMQ), Web Services, Microsoft BizTalk Server, and the Business Process Execution Language (BPEL).

The book is intended as a textbook for advance undergraduate or beginning graduate students in computer science, especially for those in an information systems curriculum. IT professionals with a background in programming, databases and XML will also benefit from the step-by-step description of the various integration levels and the related implementation examples.

Active Mining - New Directions of Data Mining (Hardcover, Illustrated Ed): H. Motoda Active Mining - New Directions of Data Mining (Hardcover, Illustrated Ed)
H. Motoda
R2,220 Discovery Miles 22 200 Ships in 12 - 19 working days

The need for collecting relevant data sources, mining useful knowledge from different forms of data sources and promptly reacting to situation change is ever increasing. Active mining is a collection of activities each solving a part of this need, but collectively achieving the mining objective through the spiral effect of these interleaving three steps. This book is a joint effort from leading and active researchers in Japan with a theme about active mining and a timely report on the forefront of data collection, user-centered mining and user interaction/reaction. It offers a contemporary overview of modern solutions with real-world applications, shares hard-learned experiences, and sheds light on future development of active mining.

Big Data Processing Using Spark in Cloud (Hardcover, 1st ed. 2019): Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal,... Big Data Processing Using Spark in Cloud (Hardcover, 1st ed. 2019)
Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal, Raghvendra Kumar
R2,900 Discovery Miles 29 000 Ships in 10 - 15 working days

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.

Entity Resolution and Information Quality (Paperback, New): John R. Talburt Entity Resolution and Information Quality (Paperback, New)
John R. Talburt
R1,168 Discovery Miles 11 680 Ships in 12 - 19 working days

Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn t mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.

This emerging area of data management is clearly explained throughout the book. It teaches you the process of locating and linking information about the same entity - eliminating duplications - and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today s info-centric environment.
First authoritative reference explaining entity resolution and how to use it effectivelyProvides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program. "

The Little Book of Artificial Intelligence (Hardcover): Harry Katzan The Little Book of Artificial Intelligence (Hardcover)
Harry Katzan
R684 Discovery Miles 6 840 Ships in 12 - 19 working days
Global Trends in Intelligent Computing Research and Development (Hardcover, New): B. K. Tripathy, D P Acharjya Global Trends in Intelligent Computing Research and Development (Hardcover, New)
B. K. Tripathy, D P Acharjya
R6,506 Discovery Miles 65 060 Ships in 10 - 15 working days

As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data. Global Trends in Intelligent Computing Research and Development brings together recent advances and in depth knowledge in the fields of knowledge representation and computational intelligence. Highlighting the theoretical advances and their applications to real life problems, this book is an essential tool for researchers, lecturers, professors, students, and developers who have seek insight into knowledge representation and real life applications.

Big Data and Analytics - Strategic and Organizational Impacts (Hardcover, 2015 ed.): Vincenzo Morabito Big Data and Analytics - Strategic and Organizational Impacts (Hardcover, 2015 ed.)
Vincenzo Morabito
R2,091 R1,969 Discovery Miles 19 690 Save R122 (6%) Ships in 12 - 19 working days

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

Clinical Videoconferencing in Telehealth - Program Development and Practice (Hardcover, 2015 ed.): Peter W. Tuerk, Peter Shore Clinical Videoconferencing in Telehealth - Program Development and Practice (Hardcover, 2015 ed.)
Peter W. Tuerk, Peter Shore
R4,968 Discovery Miles 49 680 Ships in 12 - 19 working days

Research findings and dissemination are making healthcare more effective. Electronic health records systems and advanced tools are making care delivery more efficient. Legislative reforms are striving to make care more affordable. Efforts still need to be focused on making healthcare more accessible. Clinical Videoconferencing in Telehealth takes a comprehensive and vital step forward in providing mental health and primary care services for those who cannot make traditional office visits, live in remote areas, have transportation or mobility issues or have competing demands. Practical, evidence-based information is presented in a step by step format at two levels: for administrators, including information regarding selecting the right videoconferencing technology, navigating regulatory issues, policy temples, boilerplate language for entering into care agreements with other entities and practical solutions to multisite programming; and for clinicians, including protocols for safe, therapeutically sound practice, informed consent and tips for overcoming common technical barriers to communication in clinical videoconferencing contexts. Checklists, tables, templates, links, vignettes and other tools help to equip professional readers for providing safe services that are streamlined and relevant while avoiding guesswork, false starts and waste. The book takes a friendly-mentor approach to communication in areas such as: Logistics for administrators: Clinical videoconferencing infrastructures and technologies Policy development, procedures and tools for responsible and compliant programming Navigating issues related to providing services in multiple locations Protocols for clinicians: The informed consent process in clinical videoconferencing Clinical assessment and safety planning for remote services Minimizing communication disruption and optimizing the therapeutic alliance Clinical Videoconferencing in Telehealth aptly demonstrates the promise and potential of this technology for clinicians, clinic managers, administrators and others affiliated with mental health clinical practices. It is designed to be the comprehensive "one-stop" tool for clinical videoconferencing service development for programs and individual clinicians.

Decision Aid Models for Disaster Management and Emergencies (Hardcover, 2013 ed.): Begona Vitoriano, Javier Montero, Da Ruan Decision Aid Models for Disaster Management and Emergencies (Hardcover, 2013 ed.)
Begona Vitoriano, Javier Montero, Da Ruan
R4,521 R3,664 Discovery Miles 36 640 Save R857 (19%) Ships in 12 - 19 working days

Disaster management is a process or strategy that is implemented when any type of catastrophic event takes place. The process may be initiated when anything threatens to disrupt normal operations or puts the lives of human beings at risk. Governments on all levels as well as many businesses create some sort of disaster plan that make it possible to overcome the catastrophe and return to normal function as quickly as possible. Response to natural disasters (e.g., floods, earthquakes) or technological disaster (e.g., nuclear, chemical) is an extreme complex process that involves severe time pressure, various uncertainties, high non-linearity and many stakeholders. Disaster management often requires several autonomous agencies to collaboratively mitigate, prepare, respond, and recover from heterogeneous and dynamic sets of hazards to society. Almost all disasters involve high degrees of novelty to deal with most unexpected various uncertainties and dynamic time pressures. Existing studies and approaches within disaster management have mainly been focused on some specific type of disasters with certain agency oriented. There is a lack of a general framework to deal with similarities and synergies among different disasters by taking their specific features into account. This book provides with various decisions analysis theories and support tools in complex systems in general and in disaster management in particular. The book is also generated during a long-term preparation of a European project proposal among most leading experts in the areas related to the book title. Chapters are evaluated based on quality and originality in theory and methodology, application oriented, relevance to the title of the book.

Successes and New Directions in Data Mining (Hardcover): Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire Successes and New Directions in Data Mining (Hardcover)
Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire
R4,983 Discovery Miles 49 830 Ships in 10 - 15 working days

The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From the initial definition and motivated by real-applications, the problem of mining patterns not only addresses the finding of itemsets but also more and more complex patterns.

Information and On-Line Data in Astronomy (Hardcover, illustrated edition): Daniel Egret, Miguel A. Albrecht Information and On-Line Data in Astronomy (Hardcover, illustrated edition)
Daniel Egret, Miguel A. Albrecht
R2,605 Discovery Miles 26 050 Ships in 12 - 19 working days

The ability of storing, managing and giving access to the huge quantity of data collected by astronomical observatories is one of the major challenges of modern astronomy. At the same time, the growing complexity of data systems implies a change of concepts: the scientist has to manipulate data as well as information. Developments of the "World Wide Web" bring answers to these problems. The book presents a wide selection of databases, archives, data centres and information systems. Descriptions are included, together with their scientific context and motivations. This volume should prove a useful tool for astronomers, librarians, data specialists and computer engineers.

Successfully Implementing Microsoft Dynamics (TM) - By Using the Regatta (R) Approach for Microsoft Dynamics (TM) (Hardcover,... Successfully Implementing Microsoft Dynamics (TM) - By Using the Regatta (R) Approach for Microsoft Dynamics (TM) (Hardcover, 2007 ed.)
Reinder Koop, Ester Muris
R1,535 Discovery Miles 15 350 Ships in 10 - 15 working days

This book will help organizations who have implemented or are considering implementing Microsoft Dynamics achieve a better result.

It presents Regatta Dynamics, a methodology developed by the authors for the structured implementation of Microsoft Dynamics. From A-to-Z, it details the full implementation process, emphasizing the organizational component of the implementation process and the cohesion with functional and technical processes.

Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Zurada (Hardcover, 1st ed.... Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Zurada (Hardcover, 1st ed. 2018)
Adam E Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen
R4,334 R3,765 Discovery Miles 37 650 Save R569 (13%) Ships in 12 - 19 working days

This book is a tribute to Professor Jacek Zurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Zurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few. At the same time, the book recognizes and honors Professor Zurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields. The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.

Cognitive Social Mining Applications in Data Analytics and Forensics (Hardcover): Anandakumar Haldorai, Arulmurugan Ramu Cognitive Social Mining Applications in Data Analytics and Forensics (Hardcover)
Anandakumar Haldorai, Arulmurugan Ramu
R5,264 Discovery Miles 52 640 Ships in 10 - 15 working days

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

Handbook of Research on Big Data Storage and Visualization Techniques, VOL 2 (Hardcover): Richard S Segall, Jeffrey S Cook Handbook of Research on Big Data Storage and Visualization Techniques, VOL 2 (Hardcover)
Richard S Segall, Jeffrey S Cook
R9,212 Discovery Miles 92 120 Ships in 10 - 15 working days
Cluster Analysis for Data Mining and System Identification (Hardcover, 2007 ed.): Janos Abonyi, Balazs Feil Cluster Analysis for Data Mining and System Identification (Hardcover, 2007 ed.)
Janos Abonyi, Balazs Feil
R3,059 Discovery Miles 30 590 Ships in 10 - 15 working days

The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.

Data Intensive Industrial Asset Management - IoT-based Algorithms and Implementation (Hardcover, 1st ed. 2020): Farhad Balali,... Data Intensive Industrial Asset Management - IoT-based Algorithms and Implementation (Hardcover, 1st ed. 2020)
Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao
R2,894 Discovery Miles 28 940 Ships in 10 - 15 working days

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

Handbook of Research on Big Data Storage and Visualization Techniques, VOL 1 (Hardcover): Richard S Segall, Jeffrey S Cook Handbook of Research on Big Data Storage and Visualization Techniques, VOL 1 (Hardcover)
Richard S Segall, Jeffrey S Cook
R9,218 Discovery Miles 92 180 Ships in 10 - 15 working days
Advances in High Performance Computing - Proceedings of the NATO Advanced Research Workshop on High Performance Computing -... Advances in High Performance Computing - Proceedings of the NATO Advanced Research Workshop on High Performance Computing - Technology and Applications, Cetraro, Italy, 24-26 June 1996 (Hardcover)
Lucio Grandinetti, Etc
R2,690 Discovery Miles 26 900 Ships in 10 - 15 working days

The book discusses some key scientific and technological developments in high performance computing, identifies significant trends, and defines desirable research objectives. It covers general concepts and emerging systems, software technology, algorithms and applications. Coverage includes hardware, software tools, networks and numerical methods, new computer architectures, and a discussion of future trends. Beyond purely scientific/engineering computing, the book extends to coverage of enterprise-wide, commercial applications, including papers on performance and scalability of database servers and Oracle DBM systems. Audience: Most papers are research level, but some are suitable for computer literate managers and technicians, making the book useful to users of commercial parallel computers.

Big Data Applications and Use Cases (Hardcover, 1st ed. 2016): Patrick C K Hung Big Data Applications and Use Cases (Hardcover, 1st ed. 2016)
Patrick C K Hung
R3,804 R3,522 Discovery Miles 35 220 Save R282 (7%) Ships in 12 - 19 working days

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.

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