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    FIMI
    2004
    134views Data Mining» more  FIMI 2004»
    Reducing the Main Memory Consumptions of FPmax* and FPclose
    13 years 5 months ago
    Reducing the Main Memory Consumptions of FPmax* and FPclose
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    Jianfei Zhu, Gösta Grahne
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    FIMI
    2004
    239views Data Mining» more  FIMI 2004»
    LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
    13 years 5 months ago
    LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
    Download  sunsite.informatik.rwth-aachen.de
    : For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
    Takeaki Uno, Masashi Kiyomi, Hiroki Arimura
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    FIMI
    2004
    175views Data Mining» more  FIMI 2004»
    CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
    13 years 5 months ago
    CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
    Download  sunsite.informatik.rwth-aachen.de
    Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
    Yudho Giri Sucahyo, Raj P. Gopalan
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    FIMI
    2004
    172views Data Mining» more  FIMI 2004»
    AIM2: Improved implementation of AIM
    13 years 5 months ago
    AIM2: Improved implementation of AIM
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    We present AIM2-F, an improved implementation of AIM-F [4] algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the e...
    Sagi Shporer
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    FIMI
    2004
    268views Data Mining» more  FIMI 2004»
    Algorithmic Features of Eclat
    13 years 5 months ago
    Algorithmic Features of Eclat
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    Nowadays basic algorithms such as Apriori and Eclat often are conceived as mere textbook examples without much practical applicability: in practice more sophisticated algorithms w...
    Lars Schmidt-Thieme
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    FIMI
    2004
    155views Data Mining» more  FIMI 2004»
    nonordfp: An FP-growth variation without rebuilding the FP-tree
    13 years 5 months ago
    nonordfp: An FP-growth variation without rebuilding the FP-tree
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    Balázs Rácz
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    FIMI
    2004
    212views Data Mining» more  FIMI 2004»
    A Space Optimization for FP-Growth
    13 years 5 months ago
    A Space Optimization for FP-Growth
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    Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
    Eray Özkural, Cevdet Aykanat
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    FIMI
    2004
    279views Data Mining» more  FIMI 2004»
    DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets
    13 years 5 months ago
    DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets
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    One of the main problems raising up in the frequent closed itemsets mining problem is the duplicate detection. In this paper we propose a general technique for promptly detecting ...
    Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
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    FIMI
    2004
    161views Data Mining» more  FIMI 2004»
    ABS: Adaptive Borders Search of frequent itemsets
    13 years 5 months ago
    ABS: Adaptive Borders Search of frequent itemsets
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    In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
    Frédéric Flouvat, Fabien De Marchi, ...
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    FIMI
    2004
    134views Data Mining» more  FIMI 2004»
    Recursion Pruning for the Apriori Algorithm
    13 years 5 months ago
    Recursion Pruning for the Apriori Algorithm
    Download  www.borgelt.net
    Implementations of the well-known Apriori algorithm for finding frequent item sets and associations rules usually rely on a doubly recursive scheme to count the subsets of a given...
    Christian Borgelt
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