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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
IJCSA
2006
129views more  IJCSA 2006»
15 years 7 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang
190
Voted
ICIP
2006
IEEE
16 years 9 months ago
Image Based Temporal Registration of MRI Data for Medical Visualization
The capability of creating video data from MRI has many advantages in visualization for medical practitioners, including (i) not subjecting patients to harmful radiations, (ii) be...
Meghna Singh, Richard Thompson, Anup Basu, Jana Ri...
WIDM
2003
ACM
16 years 23 days ago
Datarover: a taxonomy based crawler for automated data extraction from data-intensive websites
The advent of e-commerce has created a trend that brought thousands of catalogs online. Most of these websites are “taxonomy-directed”. A Web site is said to be ``taxonomydire...
Hasan Davulcu, S. Koduri, Saravanakumar Nagarajan
EDM
2008
141views Data Mining» more  EDM 2008»
15 years 9 months ago
An Open Repository and analysis tools for fine-grained, longitudinal learner data
We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...
Kenneth R. Koedinger, Kyle Cunningham, Alida Skogs...