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Data Mining: Opportunities and Challenges - page 1

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Wang J.

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CONCLUSIONS
REFERENCES
APPENDIX
Chapter XI: Bayesian Data Mining and Knowledge Discovery
THE BAYESIAN APPROACH TO PROBABILITY
BAYESIAN CLASSIFICATION
BAYESIAN BELIEF NETWORKS
MARKOV CHAIN MONTE CARLO TECHNIQUES
CONCLUDING REMARKS
ENDNOTES
REFERENCES
Chapter XII: Mining Free Text for Structure
RELATED WORK
MINING NEWSGROUPS EXPERTISE
MINING FAQS FOR STRUCTURE
EVALUATION
FUTURE TRENDS
CONCLUSION
ENDNOTES
ACKNOWLEDGMENTS
REFERENCES
APPENDIX
Chapter XIII: Query-By-Structure Approach for the Web
BACKGROUND
QUERY-BY-STRUCTURE SYSTEMS
FUTURE TRENDS
CONCLUSION
REFERENCES
Chapter XIV: Financial Benchmarking Using Self-Organizing MapsStudying the International Pulp and Paper Industry
METHODOLOGY
COMPANIES INCLUDED
CONSTRUCTING THE MAPS
RESULTS
CONCLUSIONS
FUTURE RESEARCH IN THIS AREA
ACKNOWLEDGMENTS
REFERENCES
APPENDIX: THE FEATURE PLANES OF THE FINAL MAP
Chapter XV: Data Mining in Health Care Applications
DATA MINING IN HEALTH CARE
COMMUNITY HEALTH INFORMATION NETWORKS (CHINS)
FINDINGS USING A CASE METHODOLOGY
HOW THE PLATFORM CAN BE USED
DATA-MINING IMPLICATIONS: CONTROVERSIES AND ISSUES ASSOCIATED WITH CHINS
CONCLUSION
ENDNOTE
REFERENCES
Chapter XVI: Data Mining for Human Resource Information Systems
BACKGROUND
APPLYING DATA MINING TECHNIQUES TO HR INFORMATION SYSTEMS
PRACTICAL APPLICATIONS OF DATA MINING HR INFORMATION
CONCLUSIONS
REFERENCES
Chapter XVII: Data Mining in Information Technology and Banking Performance
DATA ENVELOPMENT ANALYSIS
THE MODEL
APPLICATION
CONCLUSIONS
REFERENCES
Chapter XVIII: Social, Ethical and Legal Issues of Data Mining
WHAT CAN BE INFERRED FROM DATA?
ETHICAL ISSUES
SOCIAL IMPLICATIONS
LEGAL ISSUES
FUTURE TRENDS
CONCLUSION
REFERENCES
Chapter XIX: Data Mining in Designing an Agent-Based DSS
USE OF DATA MINING IN DESIGNING THE SYSTEM KNOWLEDGE BASE
USE OF DATA MINING IN DESIGNING THE LEARNING PROCESS
MULTIAGENT-BASED ARCHITECTURE FOR THE DYNAMIC DSS
CONCLUSIONS
REFERENCES
Chapter XX: Critical and Future Trends in Data Mining-A Review of Key Data Mining TechnologiesApplications
TEXT DATA MINING (TDM)
DISTRIBUTEDCOLLECTIVE DM
UBIQUITOUS DM (UDM)
HYPERTEXT AND HYPERMEDIA DATA MINING
VISUAL DM
MULTIMEDIA DM

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Data Mining: Opportunities and Challenges - page 1