Taniar D. Research and Trends in Data Mining Technologies and Applications

Hershey: Idea Group Publishing, 2007. — 352 p. — (Advanced Topics in Data Warehousing and Mining 1). — ISBN: 1599042711.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 emphasison 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.Data Warehousing and Mining
Torben Bach Pedersen, Søren E. Jespersen
Combining Data Warehousing and Data Mining Techniques for Web Log Analysis
Lixin Fu
Computing Dense Cubes Embedded in Sparse Data
Karlton Sequeira, Mohammed Zaki
Exploring Similarities Across High-Dimensional Datasets
Patterns
Irene Ntoutsi, Nikos Pelekis, Yannis Theodoridis
Pattern Comparison in Data Mining: A Survey
Fedja Hadzic, Tharam Dillon, Henry Tan, Ling Feng, Elizabeth Chang
Mining Frequent Patterns Using Self-Organizing Map
Mafruz Zaman Ashrafi, David Taniar, Kate Smith
An Efficient Compression Technique for Vertical Mining Methods
Data Mining in Bioinformatics
Alex Freitas, André C.P.L.F. de Carvalho
A Tutorial on Hierachical Classification with Applications in Bioinformatics
Daniel Wu, Xiaohua Hu
Topological Analysis and Sub-Network Mining of Protein-Protein Interactions
Data Mining Techiques
Yong Shi, Yi Peng, Gang Kou, Zhengxin Chen
Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications
Xiuju Fu, Lipo Wang, GihGuang Hung, Liping Goh
Linguistic Rule Extraction from Support Vector Machine Classifiers
Wenyuan Li, Wee-Keong Ng, Kok-Leong Ong
Graph-Based Data Mining
Richi Nayak
Facilitating and Improving the Use of Web Services with Data Mining