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題名:先前知識導向的資料發掘
書刊名:中山管理評論
作者:楊亨利 引用關係林幸怡
作者(外文):Yang, Heng-liLin, Hsing-yi
出版日期:1998
卷期:6:3
頁次:頁903-946+762
主題關鍵詞:資料發掘知識發現先前知識實體關係模式資料抽象化Data miningKnowledge discoveryPrior knowledgeEntity relationship modelData abstractions
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:23
     資料發掘乃由資料庫中發掘非顯然的、隱含的、前所未知的,而可能有用的資 訊的過程。本文首先從文獻中了解目前資料發掘領域的研究現況,從而由擴充先前知識的 角度切入,利用企業法則、延伸的實體關係模式中的一般化、集合化、聚集化等抽象化觀 念、延伸之資料字典及經驗法則等先前知識得出更合適的資料以供資料發掘,並對於概念 樹導向歸納學習法做適當的修改,提出研究架構。並以假想的學校資料庫,發展出一套雛 形系統,驗証本架構的可行性。最後並提出進一步的研究建議,以供後續研究參考。
     Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. In the paper, we first survey previous research in data mining and discuss their prior knowledge. Then we propose a framework to extend prior knowledge including data abstractions (generalization, association, and aggregation) of the extended entity-relationship model, business rule, extended data dictionary and heuristics, in order to assist the process of data mining. The Han's algorithms based on inductive learning using concept hierarchy trees are slightly modified. A prototype based on an artificial university database is then reported. Finally, we give some suggestions for future research.
期刊論文
1.Lewinson, L.(1993)。Data mining: intelligent technology gets down to business。PCAI,7(6),16-23。  new window
2.Chen, Peter P.(1976)。The entity-relationship model-toward a unified view of data。ACM Transactions of Database Systems,1(1),9-36。  new window
3.Cercone, Nick、Cai, Yandong、Han, Jiawei(1993)。Data-Driven Discovery of Quantitative Rules in Relational Databases。IEEE Transactions on Knowledge and Data Engineering,5(1),29-40。  new window
4.Fayyad, U. M.(1996)。Data Mining and Knowledge Discovery: Making Sense out of Data。IEEE Expert,11(5),20-25。  new window
5.Park, J. S.、Chen, M. S.、Yu, P. S.(1995)。An effective hash-based algorithm for mining association rules。Association for computing machinery special interest group on management of data,24(2),175-186。  new window
6.Matheus, C. J.、Chan, P. K.、Piatetsky-Shapiro, G.(1993)。Systems for knowledge discovery in databases。IEEE Transactions on Knowledge and Data Engineering,5(6),903-913。  new window
7.Grupe, F. H.、Owrang, M. M.(1995)。Data Base Mining Discovering New Knowledge and Cooperative Advantage。Information Systems Management,12(4),26-31。  new window
8.Quinlan, J. R.(1987)。Simplifying decision trees。International Journal of Man-Machine Studies,27(3),221-234。  new window
9.Swami, A.、Agrawal, R.、Imielinski, T.(1993)。Database mining: a performance perspective。IEEE Transactions on Knowledge and Data Engineering,5(6),914-925。  new window
10.Fayyad, U. M.、Piatetsky-Shapiro, G.、Smyth, Padhraic、The, K. D. D.(1996)。Process for Extracting Useful Knowledge from Volumes of Data。Communications of the ACM,39(11),27-33。  new window
11.Quinlan, J. R.(1986)。Induction of Decision Trees。Machine Learning,1(1),81-106。  new window
12.Glymour, Clark、Madigan, David、Pregibon, Darry、Smyth, Padhraic(1996)。Statistical inference and data mining。Special Issue of the Communications of the ACM on Data Mining and knowledge Discovery,39(11),35-41。  new window
13.Storey, V. C.、Goldstein, R. C.(1994)。Materialization。IEEE Transactions on Knowledge and Data Engineering,6(5),835-842。  new window
14.Tuzhilin, A.、Dhar, V.(1993)。Abstract-Driven Pattern Discovery in Databases。IEEE Transactions on Knowledge and Data Engineering,5(6),926-938。  new window
15.Uthurusamy, R.、Fayyad, Usama、Fayyad, U.(1996)。Data mining and knowledge discovery in databases。Communications of the ACM,39(11),24-26。  new window
16.Huang, Y.、Cercone, N.、Cai, Y.、Han, J.(1995)。Discovery of data evolution regularities in large databases。Journal of Computer and Software Engineering,3(1),41-69。  new window
17.King, R.、Hull, R.(1987)。Semantics database modelling: survey, applications and research issues。ACM Computing Surveys,19(3),201-260。  new window
18.Fu, Y.、Cercone, N.、Huang, Y.、Han, J.(1996)。Intelligent query answering by knowledge discovery techniques。IEEE Transactions on Knowledge and Data Engineering,8(3),373-390。  new window
19.Swami, A.、Houtsma, M.(1995)。Set-oriented Data Mining in Relational Databases。Data & Knowledge Engineering,17(3),245-262。  new window
20.Storey, V. C.(1993)。Understanding semantic relationships。Very Large Data Bases Journal,2(4),455-488。  new window
21.Kerschberg, L.、Yoon, J. P.(1993)。A Framework for Knowledge Discovery and Evolution in Databases。IEEE Transactions on Knowledge and Data Engineering,5(6),973-979。  new window
會議論文
1.Houtsma, M.、Swami, A.(1995)。Set-oriented mining for association rules in relational databases。International conference on data engineering,25-33。  new window
2.Agrawal, R.、Imielinski, T.、Swami, A. N.(1993)。Mining Association Rules between Sets of Items in Large Databases。The 1993 ACM SIGMOD International Conference on Management of Data,207-216。  new window
3.Han, J.、Cai, Y.、Cercone, N.(1992)。Knowledge discovery in databases: An attribute-oriented approach。The 18th International Conference on Very Large Data Bases。Vancouver。547-559。  new window
4.Cai, Y.、Cercone, N.、Han, J.(1990)。An attribute-oriented approach for learning classification rules from relational databases。Sixth International Conference on Data Engineering,281-288。  new window
5.Han, J.、Fu, Y.(1995)。Discovery of Multiple-level Association Rules from Large Databases。Zürich, Switzerland。420-431。  new window
6.Ng, R.、Han, J.(1994)。Efficient and Effective Clustering Method for Spatial Data Mining。0。  new window
7.Srikant, Ramakrishnan、Agrawal, Rakesh(1995)。Mining Generalized Association Rules。The 21st International Conference on Very Large Data Bases。Zurich。407-419。  new window
8.Agrawal, R.、Ghosh, S.、Imielinski, T.、Iyer, B.、Swami, A.(1992)。An Interval Classifier for Database Mining Applications。The 18th International Conference on Very Large Databases,560-573。  new window
9.Srikant, R.、Agrawal, R.(1995)。Mining Sequential Patterns。The Eleventh International Conference on Data Engineering。Taipei:IEEE Computer Society。3-14。  new window
10.Agrawal, R.、Srikant, R.(1994)。Fast algorithms for mining association rules in large database。The 20th International Conference on Very Large Data Bases。Morgan Kaufmann Publishers Inc.。478-499。  new window
11.Cercone, N.、Cai, Y.、Han, J.(1991)。Concept-based data classification in relational databases。Anaheim, CA。77-94。  new window
12.Demolombe, R.、Cuppens, F.(1988)。Cooperative answering: a methodology to provide intelligent access to databases。Fairfax, VA。621-643。  new window
13.Beck, H. W.、Navathe, S. B.、Anwar, T. M.(1992)。Knowledge mining by imprecise querying: a classification-based approach。Phoenix, AZ。  new window
14.Han, J.、Fu, Y.(1994)。Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases。Seattle, WA。  new window
15.Ng, R.、Fu, Y.、Han, J.(1994)。Cooperative query answering using multiple layered databases。Toronto, Canada。47-58。  new window
16.Adhikary, J.、Han, J.、Koperski, K.(1996)。Spatial data mining: progress and challenges。ntreal, Canada。  new window
17.Mattos, N. M.(1988)。Abstraction concepts: the basis for data and knowledge modeling。Italy。331-350。  new window
18.Omiecinski, E.、Navathe, S.、Savasere, A.(1995)。An Efficient Algorithm for Mining Association Rules in Large Databases。Zürich, Switzerland。432-444。  new window
學位論文
1.周立平(1995)。從資料庫中發現法則:用學生修課的資料作分析,0。  延伸查詢new window
2.薛如芳(1995)。以歸納學習自關聯式資料庫中發掘知識,沒有紀錄。  延伸查詢new window
圖書
1.Frawley, W. J.、Paitesky-Shapire, G.、Matheus, G. C. J.(1991)。Knowledge Discovery in Databases: An Overview。The MIT Press。  new window
2.Quinlan, J. Rose(1993)。C4.5: Programs for Machine Learning。Morgan Kaufmann Publishers。  new window
3.Chan, K. C. C.、Wong, A. K. C.(1991)。A statistical technique for extracting classificatory knowledge from databases。Knowledge discovery in databases。California。  new window
4.Han, J.、Cercone, N.、Cai, Y.(1991)。Attribute-oriented induction in relational database。Knowledge discovery in databases。Menlo Park, CA。  new window
5.Kawano, H.、Nishio, S.、Han, J.(1994)。Knowledge discovery in object-oriented and active databases。Knowledge Building and Knowledge Sharing。沒有紀錄。  new window
6.Mao, C.、Hong, J.(1991)。Incremental discovery of rules and structure by hierarchical and parallel clustering。Knowledge discovery in databases。California。  new window
7.Goodman, R. M.、Smyth, Padhraic(1991)。Rule induction using information theory。Knowledge discovery in databases。California。  new window
8.Spangler, S.、Fayyad, U. M.、Uthurusamy, R.(1991)。Learning useful rules from inconclusive data。Knowledge discovery in databases。California。  new window
圖書論文
1.Piatetsky-Shapiro, G.(1991)。Discovery, analysis, and presentation of strong rules。Knowledge Discovery in Databases。Cambridge, MA:AAAI。  new window
 
 
 
 
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