Book chapter
Study of Protein-Protein Interactions from Multiple Data Sources
Data Mining and Knowledge Discovery Technologies, pp 280-307
31 Jan 2008
Abstract
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.
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.
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Details
- Title
- Study of Protein-Protein Interactions from Multiple Data Sources
- Creators
- David TaniarXiaohua Hu - Information Science (Informatics)
- Publication Details
- Data Mining and Knowledge Discovery Technologies, pp 280-307
- Publisher
- IGI Global
- Number of pages
- 28
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84900038695
- Other Identifier
- 991019173459504721