Communications of the ACM
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Automating the analysis and cataloging of sky surveys
Advances in knowledge discovery and data mining
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Statistical Themes and Lessons for Data Mining
Data Mining and Knowledge Discovery
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Journal of Medical Systems
Collecting Quality Data for Database Mining
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining
Computational Optimization and Applications
Data mining for yield enhancement in semiconductor manufacturing and an empirical study
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Deploying and managing Web services: issues, solutions, and directions
The VLDB Journal — The International Journal on Very Large Data Bases
A hybrid evolutionary algorithm for attribute selection in data mining
Expert Systems with Applications: An International Journal
Application of ant colony, genetic algorithm and data mining-based techniques for scheduling
Robotics and Computer-Integrated Manufacturing
Application of ant K-means on clustering analysis
Computers & Mathematics with Applications
Application of KDD in mechanical structure symmetry design
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Content-Based news video mining
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Privacy-preserving frequent itemsets mining via secure collaborative framework
Security and Communication Networks
Genetic algorithm-based optimized association rule mining for multi-relational data
Intelligent Data Analysis
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Data Mining and knowledge Discovery in Databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. This is an extended abstract for an invited talk in the conference. In the talk, we define the basic notions in data mining and KDD, define the goals, present motivation, and give a high-level definition of the KDD Process and how it relates to Data Mining. We then focus on data mining methods. Basic coverage of a sampling of methods will be provided to illustrate the methods and how they are used.We cover a case study of a successful application in science data analysis: the classification of cataloging of a major astronomy sky survey covering 2 billion objects in the northern sky. The system can outperform human as well as classical computational analysis tools in astronomy on the task of recognizing faint stars and galaxies. We also cover the problem of scaling a clustering problem to a large catalog database of billions of objects.