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» Pattern Directed Mining of Sequence Data
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SAC
2005
ACM
14 years 2 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
14 years 20 days ago
Frequent regular itemset mining
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
Salvatore Ruggieri
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 3 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
14 years 1 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
CIKM
2008
Springer
13 years 10 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....