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JCIT
2010
148views more  JCIT 2010»
13 years 3 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...
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
14 years 1 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
14 years 3 months 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
14 years 2 months 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»
13 years 4 days 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