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SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
9 years 7 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
SDM
2009
SIAM
219views Data Mining» more  SDM 2009»
9 years 7 months ago
A Hybrid Data Mining Metaheuristic for the p-Median Problem.
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
SDM
2009
SIAM
118views Data Mining» more  SDM 2009»
9 years 7 months ago
Finding Links and Initiators: A Graph-Reconstruction Problem.
Consider a 0–1 observation matrix M, where rows correspond to entities and columns correspond to signals; a value of 1 (or 0) in cell (i, j) of M indicates that signal j has bee...
Evimaria Terzi, Heikki Mannila
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
9 years 7 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
9 years 7 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
9 years 7 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
9 years 7 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
9 years 7 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
9 years 7 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
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