This Book Bundle Includes 17 Scholarly Titles

IGI Global Announces the Data Science Topic Collection

By IGI Global on Apr 7, 2014

Hershey, PA – April 7, 2014– IGI Global, an international publishing company specializing in high-quality research publications in the fields of computer science and information technology management, is pleased to announce the release of the Data Science Topic Collection.

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.

  • Advanced Applications and Structures in XML Processing: Label Streams, Semantics Utilization and Data Query Technologies, edited by Changqing Li (Duke University, USA) and Tok Wang Ling (National University of Singapore, Singapore).
  • Advanced Database Query Systems: Techniques, Applications and Technologies, edited by Li Yan (Northeastern University, China) and Zongmin Ma (Northeastern University, China).
  • Data Mining in Dynamic Social Networks and Fuzzy Systems, edited by Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India).
  • Data Mining in Public and Private Sectors: Organizational and Government Applications, edited by Antti Syvajarvi (University of Lapland, Finland) and Jari Stenvall (Tampere University, Finland).
  • Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction, edited by Ladjel Bellatreche (Poitiers University, France).
  • Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches, edited by A B M Shawkat Ali (Central Queensland University, Australia) and Yang Xiang (Central Queensland University, Australia).
  • Ethical Data Mining Applications for Socio-Economic Development, edited by Hakikur Rahman (University of Minho, Portugal) and Isabel Ramos (University of Minho, Portugal).
  • Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, edited by Pedro Nuno San-Banto Furtado (University of Coimbra, Portugal).
  • Graph Data Management: Techniques and Applications, edited by Sherif Sakr (University of New South Wales, Australia) and Eric Pardede (LaTrobe University, Australia).
  • Innovations in XML Applications and Metadata Management: Advancing Technologies, edited by José Carlos Ramalho (Universidade do Minho, Portugal), Alberto Simões (Universidade do Minho, Portugal) and Ricardo Queirós (CRACS & INESC-Porto LA, Faculdade de Ciências, Universidade do Porto, Portugal).
  • Innovative Approaches of Data Visualization and Visual Analytics, edited by Mao Lin Huang (University of Technology, Sydney, Australia) and Weidong Huang (CSIRO, Australia).
  • Innovative Techniques and Applications of Entity Resolution, edited by Hongzhi Wang (Harbin Institute of Technology, China).
  • Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies, edited by Leon Shyue-Liang Wang (National University of Kaohsiung, Taiwan) and Tzung-Pei Hong (National University of Kaohsiung, Taiwan).
  • Intelligent Techniques for Warehousing and Mining Sensor Network Data, edited by Alfredo Cuzzocrea (University of Calabria, Italy).
  • Pattern Discovery Using Sequence Data Mining: Applications and Studies, edited by Pradeep Kumar (Indian Institute of Management, India), P. Radha Krishna (Infosys Technologies Limited, India) and S. Bapi Raju (University of Hyderabad, India).
  • Soft Computing Applications for Database Technologies: Techniques and Issues, edited by K. Anbumani (Karunya University, India) and R. Nedunchezhian (Sri Ramakrishna Engineering College, India).
  • XML Data Mining: Models, Methods, and Applications, edited by Andrea Tagarelli (University of Calabria, Italy).
These titles represent IGI Global’s distinct coverage of technology and its impact on economic development. For more information on these titles and this collection, visit the Data Science Topic Collection web page. IGI Global Topic Collections are affordable and authoritative bundled collections of world-renowned reference publications on the hottest topics in information science and technology research. Each topic collection is available in both print and electronic formats and contain between 16–22 individual titles bundled for a fraction of the individual list price. They include both backlist and frontlist titles allowing for a greater breadth of coverage. View other Topic Collections.

About IGI Global: Established in 1988, IGI Global, headquartered in Hershey, Pennsylvania, is a leading academic publisher of books, journals, encyclopedias, teaching cases, proceedings, and databases. Offering premier and peer-reviewed content to international researchers, librarians, and universities, their publications focus on the utilization and management of information science and technology in areas such as: education, social science, library and information science, healthcare, business management, public administration, computer science, and engineering. More information at:

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