Methods and Problems in Data Mining.
Heikki Mannila:
Methods and Problems in Data Mining.
ICDT 1997: 41-55@inproceedings{DBLP:conf/icdt/Mannila97,
author = {Heikki Mannila},
editor = {Foto N. Afrati and
Phokion G. Kolaitis},
title = {Methods and Problems in Data Mining},
booktitle = {Database Theory - ICDT '97, 6th International Conference, Delphi,
Greece, January 8-10, 1997, Proceedings},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1186},
year = {1997},
isbn = {3-540-62222-5},
pages = {41-55},
ee = {db/conf/icdt/Mannila97.html},
crossref = {DBLP:conf/icdt/97},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
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Fast Discovery of Association Rules.
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Automating the Analysis and Cataloging of Sky Surveys.
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From Data Mining to Knowledge Discovery: An Overview.
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Contents BibTeX
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Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization.
SIGMOD Conference 1996: 13-23 BibTeX
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Mining Optimized Association Rules for Numeric Attributes.
PODS 1996: 182-191 BibTeX
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Combinatorial Pattern Matching, 6th Annual Symposium, CPM 95, Espoo, Finland, July 5-7, 1995, Proceedings.
Lecture Notes in Computer Science 937 Springer 1995, ISBN 3-540-60044-2
Contents BibTeX
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Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total.
ICDE 1996: 152-159 BibTeX
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- Jiawei Han, Yongjian Fu:
Discovery of Multiple-Level Association Rules from Large Databases.
VLDB 1995: 420-431 BibTeX
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- Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
Knowledge Discovery from Telecommunication Network Alarm Databases.
ICDE 1996: 115-122 BibTeX
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- Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen:
A Perspective on Databases and Data Mining.
KDD 1995: 150-155 BibTeX
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A Database Perspective on Knowledge Discovery.
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- Jyrki Kivinen, Heikki Mannila:
The Power of Sampling in Knowledge Discovery.
PODS 1994: 77-85 BibTeX
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- Jyrki Kivinen, Heikki Mannila:
Approximate Inference of Functional Dependencies from Relations.
Theor. Comput. Sci. 149(1): 129-149(1995) BibTeX
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Finding Interesting Rules from Large Sets of Discovered Association Rules.
CIKM 1994: 401-407 BibTeX
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- Willi Klösgen:
Efficient Discovery of Interesting Statements in Databases.
J. Intell. Inf. Syst. 4(1): 53-69(1995) BibTeX
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- Heikki Mannila:
Data Mining: Machine Learning, Statistics, and Databases.
SSDBM 1996: 2-9 BibTeX
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- Heikki Mannila, Kari-Jouko Räihä:
Design by Example: An Application of Armstrong Relations.
J. Comput. Syst. Sci. 33(2): 126-141(1986) BibTeX
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Discovering Generalized Episodes Using Minimal Occurrences.
KDD 1996: 146-151 BibTeX
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- Heikki Mannila, Hannu Toivonen:
Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract).
KDD 1996: 189-194 BibTeX
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- ...
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- Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovering Frequent Episodes in Sequences.
KDD 1995: 210-215 BibTeX
- [39]
- Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill:
Selecting and reporting What Is Interesting.
Advances in Knowledge Discovery and Data Mining 1996: 495-515 BibTeX
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- Rosa Meo, Giuseppe Psaila, Stefano Ceri:
A New SQL-like Operator for Mining Association Rules.
VLDB 1996: 122-133 BibTeX
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- ...
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- Balaji Padmanabhan, Alexander Tuzhilin:
Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
KDD 1996: 351-354 BibTeX
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- Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe:
An Efficient Algorithm for Mining Association Rules in Large Databases.
VLDB 1995: 432-444 BibTeX
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- ...
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- Wei-Min Shen, KayLiang Ong, Bharat G. Mitbander, Carlo Zaniolo:
Metaqueries for Data Mining.
Advances in Knowledge Discovery and Data Mining 1996: 375-398 BibTeX
- [46]
- Michael Siegel:
Automatic Rule Derivation For Semantic Query Optimization.
Expert Database Conf. 1988: 669-698 BibTeX
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- Ramakrishnan Srikant, Rakesh Agrawal:
Mining Quantitative Association Rules in Large Relational Tables.
SIGMOD Conference 1996: 1-12 BibTeX
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- Hannu Toivonen:
Sampling Large Databases for Association Rules.
VLDB 1996: 134-145 BibTeX
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- ...
Referenced by
- Luc Boasson, Patrick Cégielski, Irène Guessarian, Yuri Matiyasevich:
Window-Accumulated Subsequence Matching Problem is Linear.
PODS 1999: 327-336
- Shalom Tsur, Jeffrey D. Ullman, Serge Abiteboul, Chris Clifton, Rajeev Motwani, Svetlozar Nestorov, Arnon Rosenthal:
Query Flocks: A Generalization of Association-Rule Mining.
SIGMOD Conference 1998: 1-12
BibTeX
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