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» Efficiently Mining Long Patterns from Databases
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CORR
2008
Springer
114views Education» more  CORR 2008»
14 years 9 months ago
Temporal Support of Regular Expressions in Sequential Pattern Mining
Classic algorithms for sequential pattern discovery, return all frequent sequences present in a database. Since, in general, only a few ones are interesting from a user's poin...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 3 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
15 years 4 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
PKDD
2000
Springer
151views Data Mining» more  PKDD 2000»
15 years 1 months ago
Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade Model
: Relational representation of objects using graphs reveals much information that cannot be obtained by attribute value representations alone. There are already many databases that...
Takashi Okada, Mayumi Oyama
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
15 years 4 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat