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Exploring Data Mining: Techniques, Trends, and Applications in Knowledge Discovery

This document delves into the essential methodologies and applications of Data Mining (DM), highlighting its significance in Knowledge Discovery in Databases (KDD). It examines various techniques such as classification, regression, clustering, and association, alongside their implications in online transactional processing (OLTP) and data warehousing. Readers will discover the pivotal roles of trend analysis, pattern recognition, and relationship mining in extracting actionable insights from large datasets. With practical examples and advanced methods, this piece offers a comprehensive guide to modern Data Mining practices.

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Exploring Data Mining: Techniques, Trends, and Applications in Knowledge Discovery

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    2. ??Data Mining? ????????????,?: ??(Trend) ??(Pattern)? ???(Relationship) ? ?KDD????? ????????????????? ???

    3. ????

    4. ?????????????????? ???????????????? ???????????????? ?????? (On Line Transactional Processing, OLTP) ????????????????,? ?????????????????? ??????,?????????? ?,????????? ?????????

    5. Data Mining???????: ???????????,???????????? ??Data Mining???? ???????????????????????? ??????,Data Mining??????????? ??????????,Data Mining?????? ??????,??Data Mining???????? ?????????????????  

    6. ????(Data Warehouse) ??????????????? KDD(Knowledge Discovery in Database) ?????????????? ????(Data Mining) ??KDD???????

    8. ??(Classification) ??(Estimation) ??(Prediction) ????(Affinity Grouping) ????(Clustering)

    9. ?????????????????,? ???(class)? ??: ???????????,??? ??????? ??????? ??????? ?????? ???(decision tree) ??????(memory-based reasoning) ?? ??

    10. ????????????????,? ??????????? ????????????????????????????? ????????????? ???? ???? ????????

    11. ?????????????????? ????? ?????????????????? ??????????????: ???? ?????? ???????? ??

    12. ?????????????????? ?? ????????????(?????? ??),??????????????? ??,????????????? (cross-selling)??????????? ????? ????

    13. ????????????????? (clusters)? ???????????????? (segmentation) ??,?????????????,?? ????????? ??????? k-means? agglomeration? ????

    14. ??????? ?????? ?????? ???????? ??????? ?????? ???????? ?????? ???????? ???? NBA??,??? ????? ????????? ?????? Data Mining??

    15. Data Miming???????????? ??????????(Model),??? ????????????(Patterns) ????(Relations)? ?????????: ?????????????????? ??????? ?????????????? Data Mining??

    16. Classification Regression Time Series Clustering Association Sequence Data Mining????

    17. Classification?????????????,????????: Logistic Regression Discriminant Analysis Neural Nets Decision Tree Classification

    19. Regression?????????? ???????????????

    21. Clustering????????,? ????????????????, ???????????????? ?????

    23. Sequence Discovery? Association?????,??? ??Sequence Discovery??? ?Item???????? ?

    24. ?????????? ???????? ???????? ??????????? ??????? ???????? ??????????? ???????

    25. MLC++ (pd) MOBAL (pd) MOBAL (pd) Emerald (rp) Kepler (rp) Clementine (cp) DataMind DataCruncher (cp) Darwin (cp) Intelligent Miner (cp)

    27. ?????????????,???????? ???? ??????????????????????, ????????????,??????(Data Warehousing)????????????,? ????????????(Masscustomization) ,?????????????,??????? ????? 

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