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VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 6 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
CIKM
2009
Springer
16 years 1 months ago
Dissemination of heterogeneous XML data in publish/subscibe systems
The publish-subscribe paradigm is an effective approach for data publishers to asynchronously disseminate relevant data to a large number of data subscribers. A lot of recent res...
Yuan Ni, Chee Yong Chan
JCIT
2010
148views more  JCIT 2010»
15 years 1 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
IEAAIE
2011
Springer
14 years 10 months ago
Informative Sentence Retrieval for Domain Specific Terminologies
Domain specific terminologies represent important concepts when students study a subject. If the sentences which describe important concepts related to a terminology can be accesse...
Jia-Ling Koh, Chin-Wei Cho
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 9 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha