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Data mining : special issue in annals of information systems

Data mining : special issue in annals of information systems (1회 대출)

자료유형
단행본
개인저자
Crone, Sven F. Stahlbock, Robert. Lessmann, Stefan.
서명 / 저자사항
Data mining : special issue in annals of information systems / edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann.
발행사항
New York ;   London :   Springer ,   2009.  
형태사항
xiii, 387 p. : ill. ; 24 cm.
총서사항
Annals of information systems ; 8
ISBN
1441912797 (pbk.) 9781441912794 (pbk.)
일반주기
Selected conference papers.  
일반주제명
Data mining -- Congresses.
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015 ▼a GBA987034 ▼2 bnb
020 ▼a 1441912797 (pbk.)
020 ▼a 9781441912794 (pbk.)
040 ▼a StDuBDS ▼b eng ▼c StDuBDS ▼d 211009
082 0 4 ▼a 006.312 ▼2 22
090 ▼a 006.312 ▼b I61 ▼c 2007
111 2 ▼a International Conference on Data Mining ▼d (2007 : ▼c Las Vegas, Nev.)
245 1 0 ▼a Data mining : ▼b special issue in annals of information systems / ▼c edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann.
260 ▼a New York ; ▼a London : ▼b Springer , ▼c 2009.
300 ▼a xiii, 387 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Annals of information systems ; ▼v 8
500 ▼a Selected conference papers.
650 0 ▼a Data mining ▼v Congresses.
700 1 ▼a Crone, Sven F.
700 1 ▼a Stahlbock, Robert.
700 1 ▼a Lessmann, Stefan.
830 0 ▼a Annals of information systems ; ▼v 8.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.312 I61 2007 등록번호 111572107 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Data Mining and Information Systems: Quo Vadis?.- Confirmatory data analysis.- Response-Based Segmentation Using Finite Mixture Partial Least Squares.- Knowledge discovery from supervised learning.- Building Acceptable Classification Models.- Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property.- Classification Techniques and Error Control in Logic Mining.- Classification analysis.- An Extended Study of the Discriminant Random Forest.- Prediction with the SVM Using Test Point Margins.- Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.- The Impact of Small Disjuncts on Classifier Learning.- Hybrid data mining procedures.- Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile.- PCA-based Time Series Similarity Search.- Evolutionary Optimization of Least-Squares Support Vector Machines.- Genetically Evolved kNN Ensembles.- Web-mining.- Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems.- Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis.- Privacy-preserving data mining.- Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model.- Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.


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