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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 5 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 5 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 5 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
STOC
2001
ACM
147views Algorithms» more  STOC 2001»
16 years 5 months ago
Conditions on input vectors for consensus solvability in asynchronous distributed systems
This article introduces and explores the condition-based approach to solve the consensus problem in asynchronous systems. The approach studies conditions that identify sets of inpu...
Achour Mostéfaoui, Michel Raynal, Sergio Ra...
PODS
2008
ACM
123views Database» more  PODS 2008»
16 years 4 months ago
Evaluating rank joins with optimal cost
In the rank join problem, we are given a set of relations and a scoring function, and the goal is to return the join results with the top K scores. It is often the case in practic...
Karl Schnaitter, Neoklis Polyzotis