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» New Algorithms for Statistical Analysis of Interval Data
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 4 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
BMCBI
2010
97views more  BMCBI 2010»
15 years 4 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
DCOSS
2006
Springer
15 years 8 months ago
Lifetime Maximization of Sensor Networks Under Connectivity and k-Coverage Constraints
In this paper, we study the fundamental limits of a wireless sensor network's lifetime under connectivity and k-coverage constraints. We consider a wireless sensor network wit...
Wei Mo, Daji Qiao, Zhengdao Wang
DRM
2003
Springer
15 years 9 months ago
Constructing a virtual primary key for fingerprinting relational data
Agrawal and Kiernan’s watermarking technique for database relations [1] and Li et al’s fingerprinting extension [6] both depend critically on primary key attributes. Hence, t...
Yingjiu Li, Vipin Swarup, Sushil Jajodia
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
15 years 10 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals