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ICDM
2002
IEEE
93views Data Mining» more  ICDM 2002»
14 years 2 months ago
Learning from Order Examples
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
Toshihiro Kamishima, Shotaro Akaho
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 11 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
14 years 25 days ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
14 years 25 days ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
WWW
2006
ACM
14 years 9 months ago
Online mining of frequent query trees over XML data streams
In this paper, we proposed an online algorithm, called FQT-Stream (Frequent Query Trees of Streams), to mine the set of all frequent tree patterns over a continuous XML data strea...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee