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CORR
2002
Springer
139views Education» more  CORR 2002»
14 years 9 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
SIGMOD
1993
ACM
134views Database» more  SIGMOD 1993»
15 years 1 months ago
Mining Association Rules between Sets of Items in Large Databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an e cient algorithm that generates all s...
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
CIKM
2004
Springer
15 years 3 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
GRC
2005
IEEE
15 years 3 months ago
Temporal granular logic for temporal data mining
— In this article, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The...
Paul Cotofrei, Kilian Stoffel
APBC
2004
132views Bioinformatics» more  APBC 2004»
14 years 11 months ago
Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...