k-Anonymity is a privacy preserving method for limiting disclosure of private information in data mining. The process of anonymizing a database table typically involves generalizing table entries and, consequently, it incurs loss of relevant information. This motivates the search for anonymization algorithms that achieve the required level of anonymization… (More)
Data mining is the process of extracting interesting patterns or knowledge from huge amount of data. In recent years, there has been a tremendous growth in the amount of personal data that can be collected and analyzed by the organizations. Organizations such as credit card companies, real estate companies and hospitals collect and hold large volumes of… (More)
We study the problem of query evaluation over tuple-independent probabilistic databases. We define a new characterization of lineage expressions called disjoint branch acyclic, and show this class to be computed in P-time. Specifically, this work extends the class of lin-eage expressions for which evaluation can be performed in PTIME. We achieve this… (More)
We present an algorithm that enumerates all the minimal triangulations of a graph in incremental polynomial time. Consequently, we get an algorithm for enumerating all the proper tree decompositions, in incremental polynomial time, where " proper " means that the tree decomposition cannot be improved by removing or splitting a bag.