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JCIT
2010
148views more  JCIT 2010»
15 years 24 days 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...
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa
SAC
2009
ACM
16 years 24 days ago
GPU-based computation of distance functions on road networks with applications
We present a GPU-based algorithm for computing discretized distance functions on road networks. As applications, we provide algorithms for computing discrete Order-k Network Voron...
Marta Fort, Joan Antoni Sellarès
WIDM
2009
ACM
16 years 15 days ago
Distinct nearest neighbors queries for similarity search in very large multimedia databases
As the volume of multimedia data available on internet is tremendously increasing, the content-based similarity search becomes a popular approach to multimedia retrieval. The most...
Tomás Skopal, Vlastislav Dohnal, Michal Bat...
ICDE
2011
IEEE
271views Database» more  ICDE 2011»
14 years 9 months ago
Authentication of moving kNN queries
— A moving kNN query continuously reports the k nearest neighbors of a moving query point. In addition to the query result, a service provider that evaluates moving queries often...
Man Lung Yiu, Eric Lo, Duncan Yung