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    FIMI
    2003
    146views Data Mining» more  FIMI 2003»
    ARMOR: Association Rule Mining based on ORacle
    13 years 10 months ago
    ARMOR: Association Rule Mining based on ORacle
    Download  dsl.serc.iisc.ernet.in
    In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
    Vikram Pudi, Jayant R. Haritsa
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    FIMI
    2003
    146views Data Mining» more  FIMI 2003»
    Mining Frequent Itemsets using Patricia Tries
    13 years 10 months ago
    Mining Frequent Itemsets using Patricia Tries
    Download  sunsite.informatik.rwth-aachen.de
    We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
    Andrea Pietracaprina, Dario Zandolin
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    FIMI
    2003
    170views Data Mining» more  FIMI 2003»
    kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
    13 years 10 months ago
    kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
    Download  sunsite.informatik.rwth-aachen.de
    This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
    Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
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    FIMI
    2003
    136views Data Mining» more  FIMI 2003»
    Intersecting data to closed sets with constraints
    13 years 10 months ago
    Intersecting data to closed sets with constraints
    Download  sunsite.informatik.rwth-aachen.de
    We describe a method for computing closed sets with data-dependent constraints. Especially, we show how the method can be adapted to find frequent closed sets in a given data set...
    Taneli Mielikäinen
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    FIMI
    2003
    123views Data Mining» more  FIMI 2003»
    Apriori, A Depth First Implementation
    13 years 10 months ago
    Apriori, A Depth First Implementation
    Download  sunsite.informatik.rwth-aachen.de
    We will discuss , the depth first implementation of APRIORI as devised in 1999 (see [8]). Given a database, this algorithm builds a trie in memory that contains all frequent item...
    Walter A. Kosters, Wim Pijls
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    FIMI
    2003
    95views Data Mining» more  FIMI 2003»
    Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
    13 years 10 months ago
    Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
    Download  sunsite.informatik.rwth-aachen.de
    A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
    Attila Gyenesei, Jukka Teuhola
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    FIMI
    2003
    104views Data Mining» more  FIMI 2003»
    AIM: Another Itemset Miner
    13 years 10 months ago
    AIM: Another Itemset Miner
    Download  www.shporer.com
    We present a new algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We integrate...
    Amos Fiat, Sagi Shporer
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    FIMI
    2003
    120views Data Mining» more  FIMI 2003»
    MAFIA: A Performance Study of Mining Maximal Frequent Itemsets
    13 years 10 months ago
    MAFIA: A Performance Study of Mining Maximal Frequent Itemsets
    Download  www.cs.cornell.edu
    We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
    Douglas Burdick, Manuel Calimlim, Jason Flannick, ...
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    FIMI
    2003
    88views Data Mining» more  FIMI 2003»
    A fast APRIORI implementation
    13 years 10 months ago
    A fast APRIORI implementation
    Download  www.cs.bme.hu
    The efficiency of frequent itemset mining algorithms is determined mainly by three factors: the way candidates are generated, the data structure that is used and the implementati...
    Ferenc Bodon
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    ISASSCI
    2001
    187views Information Technology» more  ISASSCI 2001»
    Data Mining Architectures - A Comparative Study
    13 years 10 months ago
    Data Mining Architectures - A Comparative Study
    Download  www.cin.ufpe.br
    Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...
    Thomas Thomas, Sanjeev Jayakumar, B. Muthukumaran
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