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FLAIRS
2009
14 years 9 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
15 years 4 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
BMCBI
2008
103views more  BMCBI 2008»
14 years 12 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
BMCBI
2006
202views more  BMCBI 2006»
14 years 12 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
POPL
2011
ACM
14 years 2 months ago
Decidable logics combining heap structures and data
We define a new logic, STRAND, that allows reasoning with heapmanipulating programs using deductive verification and SMT solvers. STRAND logic (“STRucture ANd Data” logic) f...
P. Madhusudan, Gennaro Parlato, Xiaokang Qiu