Data Mining by Means of Binary Representation: A Model for Similarity and Clustering
Information Systems Frontiers
Hiding Association Rules by Using Confidence and Support
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Understanding complex IT environments using information analytics and visualization
Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
Multi-taxonomy: Determining Perceived Brand Characteristics from Web Data
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
COBRA - mining web for COrporate Brand and Reputation Analysis
Web Intelligence and Agent Systems
Business insights workbench: an interactive insights discovery solution
Proceedings of the 2007 conference on Human interface: Part II
Classification by clustering decision tree-like classifier based on adjusted clusters
Expert Systems with Applications: An International Journal
Classification by clustering decision tree-like classifier based on adjusted clusters
Expert Systems with Applications: An International Journal
A privacy preserving mining algorithm on distributed dataset
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Incorporating privacy concerns in data mining on distributed data
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
| Hi-index | 0.00 |
Data mining has attracted tremendous interest in the research community as well as commercial market place. The last few years have witnessed a flurry of technical innovations and introduction of comercial products. The next major challenge facing data mining is to make a transition from a niche technology to a main stream technology. I will present key technical and environmental issues that must be addressed for a successful transition.