An overview of data warehousing and OLAP technology
ACM SIGMOD Record
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Data on the Web: from relations to semistructured data and XML
Data on the Web: from relations to semistructured data and XML
Communications of the ACM
Data mining: concepts and techniques
Data mining: concepts and techniques
Automatic segmentation of text into structured records
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Modern Information Retrieval
Removing redundancy and inconsistency in memory-based collaborative filtering
Proceedings of the eleventh international conference on Information and knowledge management
Mining the Web's Link Structure
Computer
PEBL: positive example based learning for Web page classification using SVM
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Eliminating noisy information in Web pages for data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
Organizing Multiple Data Sources for Developing Intelligent e-Business Portals
Data Mining and Knowledge Discovery
Personalized mining of web documents using link structures and fuzzy concept networks
Applied Soft Computing
MSMiner-a developing platform for OLAP
Decision Support Systems
Geo-tagging for imprecise regions of different sizes
Proceedings of the 4th ACM workshop on Geographical information retrieval
An intelligent system integrated with fuzzy ontology for product recommendation and retrieval
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
A knowledge retrieval model using ontology mining and user profiling
Integrated Computer-Aided Engineering
A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Concept-Based, Personalized Web Information Gathering: A Survey
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
The cooperative web: a step towards web intelligence
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Heterogeneous spatial data mining based on grid
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Network thinking and network intelligence
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Generalization of web log datas using WUM technique
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
A machine learning approach towards improving internet search with a question-answering system
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Adopting ontologies and rules in web searching services
CIS'04 Proceedings of the First international conference on Computational and Information Science
Cooperative ontology development environment CODE and a demo semantic web on economics
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
| Hi-index | 4.10 |
Searching, comprehending, and using the semistructured HTML, XML, and database-service-engineinformation stored on the Web poses a significant challenge: This data is more sophisticated and dynamic than the information commercial database systems store. To supplement keywordbased indexing, researchers have applied data mining to Webpage ranking. In this context, data mining helps Web search engines find high-quality Web pages and enhances Web click stream analysis. For the Web to reach its full potential, however, we must improve its services, make it more comprehensible, and increase its usability. As researchers continue to develop data mining techniques, the authors believe this technology will play an increasingly important role in meeting the challenges of developing the intelligent Web.Ultimately, data mining for Web intelligence will make the Web a richer, friendlier, and more intelligent resource that we can all share and explore.