Data Science
Data serves as a building block of knowledge, presenting information useful in analyzing, valuing, and understanding an array of topics. Having the tools necessary to collect, assess, and apply data to real-world settings is essential in any research field. The Data Science collection features 17 research-based works on various topics relating to big data, data mining, data analytics, data warehousing, statistics, and pattern analysis. This comprehensive collection showcases IGI Global’s commitment to producing high-quality academic reference works for academicians, researchers, upper-level students, and data scientists interested in learning more about data extraction, analysis, and management.
Release date: April 1, 2014
ISBN13: 9781466663374|EISBN13: 9781466663381
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| $3,195.00 List Price: $3,830.00 | |
Description
Data serves as a building block of knowledge, presenting information useful in analyzing, valuing, and understanding an array of topics. Having the tools necessary to collect, assess, and apply data to real-world settings is essential in any research field.
The Data Science collection features 17 research-based works on various topics relating to big data, data mining, data analytics, data warehousing, statistics, and pattern analysis. This comprehensive collection showcases IGI Global’s commitment to producing high-quality academic reference works for academicians, researchers, upper-level students, and data scientists interested in learning more about data extraction, analysis, and management.
Topics Covered
-
Data Analytics
- Data Mining
- Data Warehousing
- Databases
- Knowledge Discovery
- Pattern discovery
Books Included in this Collection
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Mao Lin Huang (University of Technology, Sydney, Australia), Weidong Huang (CSIRO, Australia).
© 2014.
464 pages.
Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics...
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Hongzhi Wang (Harbin Institute of Technology, China).
© 2014.
398 pages.
Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring...
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José Carlos Ramalho (Universidade do Minho, Portugal), Alberto Simões (Universidade do Minho, Portugal), Ricardo Queirós (CRACS & INESC-Porto LA, Faculdade de Ciências, Universidade do Porto, Portugal).
© 2013.
258 pages.
As new concepts such as virtualization, cloud computing, and web applications continue to emerge, XML has begun to assume the role as the universal language for communication among contrasting systems that grow throughout the internet. Innovations in XML Applications and Metadata Management: Advancing...
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Hakikur Rahman (University of Minho, Portugal), Isabel Ramos (University of Minho, Portugal).
© 2013.
359 pages.
Organizations that utilize data mining techniques can amass valuable information on clients’ habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts. Ethical Data Mining Applications for Socio-Economic Development provides an overview of data mining techniques...
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Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India).
© 2013.
412 pages.
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks...
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Sherif Sakr (University of New South Wales, Australia), Eric Pardede (LaTrobe University, Australia).
© 2012.
502 pages.
Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databases has generated data management problems that include finding efficient techniques for compressing large graph databases and suitable...
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Pradeep Kumar (Indian Institute of Management, India), P. Radha Krishna (Infosys Technologies Limited, India), S. Bapi Raju (University of Hyderabad, India).
© 2012.
286 pages.
Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain...
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Andrea Tagarelli (University of Calabria, Italy).
© 2012.
538 pages.
The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information...
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Li Yan (Northeastern University, China), Zongmin Ma (Northeastern University, China).
© 2011.
410 pages.
Databases are designed to support data storage, processing, and retrieval activities related to data management. The use of databases in various applications has resulted in an enormous wealth of data, which populates many types of databases around the world. Advanced Database Query Systems...
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Ladjel Bellatreche (Poitiers University, France).
© 2010.
336 pages.
Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction...
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A B M Shawkat Ali (Central Queensland University, Australia), Yang Xiang (Central Queensland University, Australia).
© 2010.
516 pages.
Overcoming many challenges, data mining has already established discipline capability in many domains. Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches discusses advances in modern data mining research in today's rapidly growing global...
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Pedro Nuno San-Banto Furtado (University of Coimbra, Portugal).
© 2010.
364 pages.
Data warehousing and mining technologies are key assets today in many areas of human knowledge, from scientific to commercial and industrial settings, and the last decades have seen tremendous advances in those fields. Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions...
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Alfredo Cuzzocrea (University of Calabria, Italy).
© 2010.
424 pages.
Sensor network data management poses new challenges outside the scope of conventional systems where data is represented and regulated. Intelligent Techniques for Warehousing and Mining Sensor Network Data presents fundamental and theoretical issues pertaining to data management. Covering a broad range...
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Changqing Li (Duke University, USA), Tok Wang Ling (National University of Singapore, Singapore).
© 2010.
500 pages.
Much of the world's advanced data processing applications are now dependant on eXtensible Markup Language (XML), from publishing to medical information storage. Therefore, XML has become a de facto standard for data exchange and representation on the World Wide Web and in daily life. Applications...
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Leon Shyue-Liang Wang (National University of Kaohsiung, Taiwan), Tzung-Pei Hong (National University of Kaohsiung, Taiwan).
© 2010.
516 pages.
As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating...
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Antti Syvajarvi (University of Lapland, Finland), Jari Stenvall (Tampere University, Finland).
© 2010.
448 pages.
The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government...
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K. Anbumani (Karunya University, India), R. Nedunchezhian (Sri Ramakrishna Engineering College, India).
© 2010.
348 pages.
The digital revolution and the explosive growth of the Internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. Soft Computing Applications for Database Technologies: Techniques and Issues treats...
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