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DMIN
2008
241views Data Mining» more  DMIN 2008»
9 years 2 months ago
Leakage Detection by Adaptive Process Modeling
Abstract-- In this paper, we propose an adaptive linear approach for time series modeling and steam line leakage detection. Weighted recursive least squares (WRLS) method is used f...
Jaakko Talonen, Miki Sirola, Jukka Parviainen
DMIN
2008
158views Data Mining» more  DMIN 2008»
9 years 2 months ago
Mining User Movement Behavior Patterns in a Mobile Service Environment
Abstract - The rapid advances of wireless and web technologies enable the mobile users to request various kinds of services via mobile devices at anytime and anywhere. To provide t...
Yen-Ssu Chou, Tzung-Shi Chen
DMIN
2008
145views Data Mining» more  DMIN 2008»
9 years 2 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild
DMIN
2008
134views Data Mining» more  DMIN 2008»
9 years 2 months ago
Political Leaning Categorization by Exploring Subjectivities in Political Blogs
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Maojin Jiang, Shlomo Argamon
DMIN
2008
147views Data Mining» more  DMIN 2008»
9 years 2 months ago
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications
Naive credal classifier 2 (NCC2) extends naive Bayes in order to deliver more robust classifications. NCC2 is based on a set of prior densities rather than on a single prior; as a ...
Giorgio Corani, Marco Zaffalon
DMIN
2008
176views Data Mining» more  DMIN 2008»
9 years 2 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
DMIN
2008
147views Data Mining» more  DMIN 2008»
9 years 2 months ago
Approximate Computation of Object Distances by Locality-Sensitive Hashing
We propose an approximate computation technique for inter-object distances for binary data sets. Our approach is based on the locality sensitive hashing, scales up with the number ...
Selim Mimaroglu, Dan A. Simovici
DMIN
2008
190views Data Mining» more  DMIN 2008»
9 years 2 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
DMIN
2008
152views Data Mining» more  DMIN 2008»
9 years 2 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
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