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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 5 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 5 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
BTW
2005
Springer
112views Database» more  BTW 2005»
15 years 10 months ago
Valid Updates for Persistent XML Objects
: XML has emerged as the industry standard for representing and exchanging data and is already predominant in several applications today. Business, analytic and structered data wil...
Henrike Schuhart, Volker Linnemann
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 10 months ago
Price prediction and insurance for online auctions
Online auctions are generating a new class of fine-grained data about online transactions. This data lends itself to a variety of applications and services that can be provided to...
Rayid Ghani
ECCV
2010
Springer
15 years 10 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov