Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes Giovanni Guiffrida, Wesley W. Chu, and Dominique M. Hanssens   View Paper (PDF)   Return to Data Mining References Note: References link to DBLP on the Web. [1] Rakesh Agrawal , Heikki Mannila , Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo : Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining. 1996 : 307-328 [2] Roberto J. Bayardo Jr. : Brute-Force Mining of High-Confidence Classification Rules. KDD 1997 : 123-126 [3] Roberto J. Bayardo Jr. , Rakesh Agrawal , Dimitrios Gunopulos : Constraint-Based Rule Mining in Large, Dense Databases. ICDE 1999 : 188-197 [4] Peter Clark , Tim Niblett : The CN2 Induction Algorithm. Machine Learning 3 : 261-283(1989) [5] William W. Cohen : Learning Trees and Rules with Set-Valued Features. AAAI/IAAI, Vol. 1 1996 : 709-716 [6] ... [7] Pedro Domingos : Linear-Time Rule Induction. KDD 1996 : 96-101 [8] Giovanni Giuffrida , Lee G. Cooper , Wesley W. Chu : A Scalable Bottum-Up Data Mining Algorithm for Relational Databases. SSDBM 1998 : 206-209 [9] Robert C. Holte , Liane Acker , Bruce W. Porter : Concept Learning and the Problem of Small Disjuncts. IJCAI 1989 : 813-818 [10] Brian Lent , Arun N. Swami , Jennifer Widom : Clustering Association Rules. ICDE 1997 : 220-231 [11] Bing Liu , Wynne Hsu , Yiming Ma : Integrating Classification and Association Rule Mining. KDD 1998 : 80-86 [12] Heikki Mannila , Hannu Toivonen : Levelwise Search and Borders of Theories in Knowledge Discovery. Data Mining and Knowledge Discovery 1(3) : 241-258(1997) [13] Manish Mehta , Rakesh Agrawal , Jorma Rissanen : SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996 : 18-32 [14] ... [15] J. Ross Quinlan : C4.5: Programs for Machine Learning. Morgan Kaufmann 1993, ISBN 1-55860-238-0 [16] John C. Shafer , Rakesh Agrawal , Manish Mehta : SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996 : 544-555 [17] Min Wang , Balakrishna R. Iyer , Jeffrey Scott Vitter : Scalable Mining for Classification Rules in Relational Databases. IDEAS 1998 : 58-67 BIBTEX @inproceedings{DBLP:conf/edbt/GuiffridaCH00,   author    = {Giovanni Guiffrida and                 Wesley W. Chu and                 Dominique M. Hanssens},    editor    = {Carlo Zaniolo and                 Peter C. Lockemann and                 Marc H. Scholl and                 Torsten Grust},    title     = {Mining Classification Rules from Datasets with Large Number of                 Many-Valued Attributes},    booktitle = {Advances in Database Technology - EDBT 2000, 7th International                 Conference on Extending Database Technology, Konstanz, Germany,                 March 27-31, 2000, Proceedings},    publisher = {Springer},    series    = {Lecture Notes in Computer Science},    volume    = {1777},    year      = {2000},    isbn      = {3-540-67227-3},    pages     = {335-349},    crossref  = {DBLP:conf/edbt/2000},    bibsource = {DBLP, http://dblp.uni-trier.de} } }, DiSC'01 Copyright ©2002 ACM Inc.