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Social Media and Electronic Discovery: A Potential Source of Evidence in Bankruptcy Proceedings
electronic discovery social media bankruptcy evidence privacy security
2014/12/20
This article is the second in a series about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. This article will...
Electronic Discovery and Bankruptcy: A Review of Recent Cases
electronic discovery bankruptcy case review
2014/12/20
This article is the third in a series about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. The second discuss...
Electronic Discovery and Bankruptcy: Technology, Sanctions and Lessons Learned
electronic discovery bankruptcy technology sanctions ethical issues
2014/12/20
This article is the last in a series of articles about electronic discovery in bankruptcy. The first article covered the basics of electronic discovery, including history, rules and resources. The sec...
Discovery of Complex Regulatory Modules from Expression Genetics Data
Biostatistics Computational biology Expression genetics Genetics, Genomics
2014/12/18
Mapping of strongly inherited classical traits have been immensely helpful in understanding many important traits including diseases, yield and immunity. But some of these traits are too complex and a...
Leveraging Relational Representations for Causal Discovery
causality relational learning social network analysis
2014/12/18
This thesis represents a synthesis of relational learning and causal discovery, two subjects at the frontier of machine learning research. Relational learning investigates algorithms for constructing ...
Causal Discovery for Relational Domains: Representation, Reasoning, and Learning
causal discovery relational data machine learning graphical models
2014/12/18
Many domains are currently experiencing the growing trend to record and analyze massive, observational data sets with increasing complexity. A commonly made claim is that these data sets hold potentia...
Bayesian Mixture Models for Frequent Itemset Discovery
Bayesian Mixture Models Frequent Itemset Discovery
2012/9/26
In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to...