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» K-Nearest Neighbor Finding Using MaxNearestDist
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ICDE
2007
IEEE
185views Database» more  ICDE 2007»
14 years 6 months ago
On k-Nearest Neighbor Searching in Non-Ordered Discrete Data Spaces
A k-nearest neighbor (k-NN) query retrieves k objects from a database that are considered to be the closest to a given query point. Numerous techniques have been proposed in the p...
Dashiell Kolbe, Qiang Zhu, Sakti Pramanik
DMIN
2007
214views Data Mining» more  DMIN 2007»
13 years 6 months ago
A Fast KNN Algorithm Based on Simulated Annealing
K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
SAC
2004
ACM
13 years 10 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
IASSE
2004
13 years 6 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
IJCAT
2010
133views more  IJCAT 2010»
13 years 3 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...