Data Mining: Machine Learning, Statistics, and Databases.

@inproceedings{DBLP:conf/ssdbm/Mannila96,
  author    = {Heikki Mannila},
  editor    = {Per Svensson and
               James C. French},
  title     = {Data Mining: Machine Learning, Statistics, and Databases},
  booktitle = {Proceedings of the Eighth International Conference on Scientific
               and Statistical Database Management, Stockholm, Sweden, June
               18-20, 1996},
  publisher = {IEEE Computer Society},
  year      = {1996},
  isbn      = {0-8186-7264-1},
  pages     = {2-9},
  ee        = {db/conf/ssdbm/Mannila96.html},
  crossref  = {DBLP:conf/ssdbm/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

ACM SIGMOD Anthology

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Printed Edition

References

[1]

Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216

[2]

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

[3]

Peter A. Boncz, Wilko Quak, Martin L. Kersten: Monet And Its Geographic Extensions: A Novel Approach to High Performance GIS Processing. EDBT 1996: 147-166

[4]

Luc De Raedt, Maurice Bruynooghe: A Theory of Clausal Discovery. IJCAI 1993: 1058-1063

[5]

Luc De Raedt, Saso Dzeroski: First-Order jk-Clausal Theories are PAC-Learnable. Artif. Intell. 70(1-2): 375-392(1994)

[6]

John F. Elder IV, Daryl Pregibon: A Statistical Perspective on Knowledge Discovery in Databases. Advances in Knowledge Discovery and Data Mining 1996: 83-113

[7]

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir: Automating the Analysis and Cataloging of Sky Surveys. Advances in Knowledge Discovery and Data Mining 1996: 471-493

[8]

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. Advances in Knowledge Discovery and Data Mining 1996: 1-34

[9]

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996, ISBN 0-262-56097-6
Contents

[10]

Zvi Galil, Esko Ukkonen (Eds.): 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

[11]

Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total. ICDE 1996: 152-159

[12]

Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431

[13]

Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen: Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996: 115-122

[14]

Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen: A Perspective on Databases and Data Mining. KDD 1995: 150-155

[15]

Marcel Holsheimer: Data Surveyor: Searching the Nuggets in Parallel. Advances in Knowledge Discovery and Data Mining 1996: 447-467

[16]

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[17]

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[18]

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[19]

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[20]

Heikki Mannila, Kari-Jouko Räihä: Design by Example: An Application of Armstrong Relations. J. Comput. Syst. Sci. 33(2): 126-141(1986)

[21]

Heikki Mannila, Kari-Jouko Räihä: Design of Relational Databases. Addison-Wesley 1992, ISBN 0-201-56523-4

[22]

Heikki Mannila, Hannu Toivonen: Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996: 146-151

[23]

Heikki Mannila, Hannu Toivonen: Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996: 189-194

[24]

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[25]

Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Discovering Frequent Episodes in Sequences. KDD 1995: 210-215

[26]

Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill: Selecting and reporting What Is Interesting. Advances in Knowledge Discovery and Data Mining 1996: 495-515

[27]

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[28]

Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444

[29]

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