Research and Trends in Data Mining Technologies and Applications
David Taniar · IGI Global eBooks · 2007
This book focuses on the integration between the fields of data warehousing and data mining, with emphasis on applicability to real-world problems; it book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures and design offer answers and solutions--Provided by publisher. | 1. Combining data warehousing and data mining techniques for Web log analysis / Torben Pedersen, Jesper Thorhauge, Søren Jespersen -- 2. Computing dense cubes embedded in sparse data / Lixin Fu -- 3. Exploring similarities across high-dimensional datasets / Karlton Sequeira, Mohammed Zaki -- 4. Pattern comparison in data mining / Irene Ntoutsi, Nikos Pelekis, Yannis Theodoridis -- 5. Mining frequent patterns using self-organizing map / Fedja Hadzic ... [et al.] -- 6. An efficient compression technique for vertical mining methods / Mafruz Ashrafi, David Taniar, Kate Smith -- 7. A tutorial on hierarchical classification with applications in bioinformatics / Alex Freitas, André Carvalho -- 8. Topological analysis and sub-network mining of protein-protein interactions / Daniel Wu, Xiaohua Hu -- 9. Introduction to data mining techniques via multiple criteria optimization approaches and applications / Yong Shi ... [et al.] -- 10. Linguistic rule extraction from support vector machine classifiers / Xiuju Fu ... [et al.] -- 11. Graph-based data mining / Wenyuan Li, Wee-Keong Ng, Kok-Leong Ong -- 12. Facilitating and improving the use of Web services with data mining / Richi Nayak. | Includes bibliographical references and index. | electronic texts (ix, 340 p. : ill.) | digital files.