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» Knowledge Discovery from Multiple Databases
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CINQ
2004
Springer
151views Database» more  CINQ 2004»
15 years 3 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
SIGMOD
2001
ACM
90views Database» more  SIGMOD 2001»
15 years 12 months ago
Towards Knowledge-Based Digital Libraries
From the standpoint of satisfying human's informationneeds, the current digital library (DL) systems suffer from the following two shortcomings: (i) inadequate high-level cog...
Ling Feng, Manfred A. Jeusfeld, Jeroen Hoppenbrouw...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 5 days ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
ISDA
2009
IEEE
15 years 6 months ago
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
Nikola Trcka, Mykola Pechenizkiy
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 10 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...