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IDA
2001
Springer
13 years 11 months ago
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Paul R. Cohen, Niall M. Adams
AINA
2008
IEEE
14 years 1 months ago
Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call,...
Min-Feng Wang, Yen-Ching Wu, Meng-Feng Tsai
BCSHCI
2007
13 years 8 months ago
Is an apology enough?: how to resolve trust breakdowns in episodic online interactions
This paper addresses what kind of system allows the victim of a trust breakdown to fairly assess an unintentional offender who is also a benevolent member. Two systems were compar...
Asimina Vasalou, Astrid Hopfensitz, Jeremy Pitt
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 8 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 6 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...