Book chapter
Topological Analysis and Sub-Network Mining of Protein-Protein Interactions
Research and Trends in Data Mining Technologies and Applications, pp 209-240
31 Oct 2006
Abstract
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
Metrics
12 Record Views
5 citations in Scopus
Details
- Title
- Topological Analysis and Sub-Network Mining of Protein-Protein Interactions
- Creators
- David TaniarXiaohua Hu - Information Science (Informatics)
- Publication Details
- Research and Trends in Data Mining Technologies and Applications, pp 209-240
- Publisher
- IGI Global
- Number of pages
- 32
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84899216922
- Other Identifier
- 991019173682404721