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» Techniques of Cluster Algorithms in Data Mining
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EUROSYS
2010
ACM
15 years 11 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 5 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 7 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 2 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
118
Voted
ICDM
2006
IEEE
184views Data Mining» more  ICDM 2006»
15 years 8 months ago
MARGIN: Maximal Frequent Subgraph Mining
The exponential number of possible subgraphs makes the problem of frequent subgraph mining a challenge. Maximal frequent mining has triggered much interest since the size of the s...
Lini T. Thomas, Satyanarayana R. Valluri, Kamalaka...