Next Generation of Data-Mining Applications

Abstract

Trends in data-mining applications : from research labs to fortune 500 companies. 1. Mining wafer fabrication : framework and challenges. 2. Damage detection employing data-mining techniques. 3. Data projection techniques and their application in sensor array data processing. 4. An application of evolutionary and neural data-mining techniques to customer relationship management. 5. Sales opportunity miner : data mining for automatic evaluation of sales opportunity. 6. A fully distributed framework for cost-sensitive data mining. 7. Application of variable precision rough set approach to care driver assessment. 8. Discovery of patterns in earth science data using data mining. 9. An active learning approach to Egeria densa detection in digital imagery. 10. Experiences in mining data from computer simulations. 11. Statistical modeling of large-scale scientific simulation data. 12. Data mining for gene mapping. 13. Data-mining techniques for microarray data analysis. 14. The use of emerging patterns in the analysis of gene expression profiles for the diagnosis and understanding of diseases. 15. Proteomic data analysis : pattern recognition for medical diagnosis and biomarker discovery. 16. Discovering patterns and reference models in the medical domain of isokinetics. 17. Mining the cystic fibrosis data. 18. On learning strategies for topic-specific web crawling. 19. On analyzing web log data : a parallel sequence-mining algorithm. 20. Interactive methods for taxonomy editing and validation. 21. The use of data-mining techniques in operational crime fighting. 22 .Using data mining for intrusion detection. 23. Mining closed and maximal frequent itemsets. 24. Using fractals in data mining. 25 .Genetic search for logic structures in data.