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» Techniques of Cluster Algorithms in Data Mining
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CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
15 years 8 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool
KDD
2000
ACM
110views Data Mining» more  KDD 2000»
15 years 10 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
15 years 11 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 7 months ago
An incremental data-stream sketch using sparse random projections
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...