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WINEPI

In data mining, the WINEPI algorithm is an influential algorithm for episode mining, which helps discover the knowledge hidden in an event sequence… 
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Related topics

Related topics

1 relation
Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Applying Sequential Pattern Mining to Portable RFID System Data
This paper presents how data mining can be applied to RFID proximity tracking data captured in a production setting. The WINEPI… 
2014
2014
The application research of electronic evidence system based on analysis of user correlative behavior
  • Juan LuoW. Xu
  • IEEE Workshop on Advanced Research and Technology…
  • 2014
  • Corpus ID: 22978101
Nowadays, we put forward a kind of electronic forensics system based on user behavior correlation analysis in view of the present… 
2011
2011
EVALUACIÓN EPIDEMIOLÓGICA DE PROCESOS RESPIRATORIOS BACTERIANOS EN GALLINAS PONEDORAS
Con el objetivo de evaluar la situacion epidemiologica de los procesos respiratorios en gallinas ponedoras, se realizo un estudio… 
2011
2011
EVALUACIÓN EPIDEMIOLÓGICA DE PROCESOS RESPIRATORIOS BACTERIANOS EN REEMPLAZOS DE PONEDORAS
With the objective of evaluating the epidemic situation of the breathing processes of bacterial in of replacement of egg-laying… 
2010
2010
Exploratory Analysis of an Annotated Text Corpus using episode rules
2010
2010
Discovering N-ary Timed Relations from Sequences
The goal of this position paper is to show the problems with most used timed data mining techniques for discovering temporal… 
2009
2009
DISCOVERING N-ARY TIMED RELATIONS FROM SEQUENCES-A POSITION PAPER
The goal of this position paper is to show the problems with most known timed data mining techniques for discovering temporal… 
2006
2006
Application of WINEPI Mining Algorithm in IDS
According to the characteristics of IDS,the sequence pattern data mining algorithm is applied to IDS in this paper.The algorithm… 
2006
2006
An Incremental and Hash-based Algorithm for Mining Frequent Episodes
Episodes rules can describe and predict the behavior of the event sequences. The property of incremental frequent episodes mining… 
Highly Cited
2001
Highly Cited
2001
Discovering representative episodal association rules from event sequences using frequent closed episode sets and event constraints
Discovering association rules from time-series data is an important data mining problem. The number of potential rules grows… 
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