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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 5 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ICDM
2007
IEEE
276views Data Mining» more  ICDM 2007»
14 years 5 months ago
SOPS: Stock Prediction Using Web Sentiment
Recently, the web has rapidly emerged as a great source of financial information ranging from news articles to personal opinions. Data mining and analysis of such financial info...
Vivek Sehgal, Charles Song
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
14 years 5 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
14 years 5 months ago
Modeling Fundamental Geo-Raster Operations with Array Algebra
Angelica Garcia Gutierrez, Peter Baumann
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 5 months ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 5 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
14 years 5 months ago
An Examination of Experimental Methodology for Classifiers of Relational Data
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...
Brian Gallagher, Tina Eliassi-Rad
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
14 years 5 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
14 years 5 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen
ICDM
2007
IEEE
105views Data Mining» more  ICDM 2007»
14 years 5 months ago
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...
Florian Verhein, Ghazi Al-Naymat