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ACM Transactions on Knowledge Discovery from Data (TKDD)
ACM Press
 
   
 
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  1-10 of 14 reviews Date Reviewed 
  Comparative document summarization via discriminative sentence selection
Wang D., Zhu S., Li T., Gong Y.  ACM Transactions on Knowledge Discovery from Data (TKDD) 6(3): 1-18, 2012. Type: Article

The main novelty of this interesting and important paper lies in the identification of what is really an under-researched problem: how to summarize the differences between documents. While document similarity and document summarization are...

Feb 12 2013
  Large linear classification when data cannot fit in memory
Yu H., Hsieh C., Chang K., Lin C.  ACM Transactions on Knowledge Discovery from Data (TKDD) 5(4): 1-23, 2012. Type: Article

Linear classification is the process of discriminating objects using linear combinations of the features (or model parameters) extracted (or estimated) from the objects. Among the various available classifiers, support vector machines (SVMs) are...

Aug 10 2012
  Integrating document clustering and multidocument summarization
Wang D., Zhu S., Li T., Chi Y., Gong Y.  ACM Transactions on Knowledge Discovery from Data (TKDD) 5(3): 1-26, 2011. Type: Article

Future information retrieval systems require effective document grouping and condensation algorithms to aid users in the interpretation of retrieved documents. The design of such algorithms for generating meaningful and interpretable document...

Feb 28 2012
  Can the utility of anonymized data be used for privacy breaches?
Wong R., Fu A., Wang K., Yu P., Pei J.  ACM Transactions on Knowledge Discovery from Data (TKDD) 5(3): 1-24, 2011. Type: Article

Database and information security specialists should remain cognizant of the loophole exploitation of logical patterns in published data. Public data and background information on people are potent weapons that some agents may use to breach...

Feb 17 2012
  Fast algorithms for approximating the singular value decomposition
Menon A., Elkan C.  ACM Transactions on Knowledge Discovery from Data (TKDD) 5(2): 1-36, 2011. Type: Article

In this paper, the authors address generating a low-rank approximation to an existing matrix, which is close to the original matrix in some sense. Such approximations arise in a number of application areas, including semantic analysis, data...

May 6 2011
  A combination approach to Web user profiling
Tang J., Yao L., Zhang D., Zhang J.  ACM Transactions on Knowledge Discovery from Data (TKDD) 5(1): 1-44, 2010. Type: Article

The Web contains rich sets of information about researchers in all areas. It would be extremely useful to be able to retrieve an accurate and complete profile of a researcher by simply supplying a name to a search engine. In this paper, Tang et...

Apr 6 2011
  Efficient algorithms for large-scale local triangle counting
Becchetti L., Boldi P., Castillo C., Gionis A.  ACM Transactions on Knowledge Discovery from Data (TKDD) 4(3): 1-28, 2010. Type: Article

Becchetti et al. present efficient approximation algorithms that count the number of local triangles in large graphs (both undirected and directed). They suggest possible applications of the counting algorithms for Web spam detection and local...

Feb 23 2011
  An event-based framework for characterizing the evolutionary behavior of interaction graphs
Asur S., Parthasarathy S., Ucar D.  ACM Transactions on Knowledge Discovery from Data (TKDD) 3(4): 1-36, 2009. Type: Article

The behavior of interactions can be analyzed with the help of interaction graphs that represent the existence of relationships between entities. Temporal change of relationships is investigated by comparing consecutive snapshots of the graph,...

Jun 10 2010
  Efficient algorithms for genome-wide association study
Zhang X., Zou F., Wang W.  ACM Transactions on Knowledge Discovery from Data (TKDD) 3(4): 1-28, 2009. Type: Article, Reviews: (2 of 2)

The convergence, divergence, parallel, and interaction motions by thousands of genes in humans make it difficult to predict the functionality of gene structures. In order to understand the fundamental techniques of multifaceted phenotypes,...

Apr 26 2010
  Efficient algorithms for genome-wide association study
Zhang X., Zou F., Wang W.  ACM Transactions on Knowledge Discovery from Data (TKDD) 3(4): 1-28, 2009. Type: Article, Reviews: (1 of 2)

Zhang, Zou, and Wang propose an efficient algorithm to find single-nucleotide polymorphism (SNP) pairs associated with quantitative phenotypes--a process described as association study. A binary representation of all SNPs indicating whether...

Mar 19 2010
 
 
 
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