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KES
2007
Springer
15 years 10 months ago
Spreadsheet Interface Which Simplifies the Visualization of the Network Structures
We developed a system that extracts and visualizes the network structures from relational data on spreadsheets. Visualization through network diagrams obtained from relational data...
Satoshi Koike, Kazuo Misue, Jiro Tanaka
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 1 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,...
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 9 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
PODS
2006
ACM
108views Database» more  PODS 2006»
16 years 4 months ago
Deterministic k-set structure
A k-set structure over data streams is a bounded-space data structure that supports stream insertion and deletion operations and returns the set of (item, frequency) pairs in the s...
Sumit Ganguly, Anirban Majumder
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 10 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh