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» Hierarchical exploration of large multivariate data sets
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WSCG
2004
170views more  WSCG 2004»
14 years 11 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
15 years 10 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
AIRWEB
2007
Springer
15 years 4 months ago
Extracting Link Spam using Biased Random Walks from Spam Seed Sets
Link spam deliberately manipulates hyperlinks between web pages in order to unduly boost the search engine ranking of one or more target pages. Link based ranking algorithms such ...
Baoning Wu, Kumar Chellapilla
BIBM
2008
IEEE
101views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Comparing and Clustering Flow Cytometry Data
Flow cytometry technique produces large, multidimensional datasets of properties of individual cells that are helpful for biomedical science and clinical research. This paper expl...
Lin Liu, Li Xiong, James J. Lu, Kim M. Gernert, Vi...