A variety of algorithms have been proposed for mining frequent item sets. The proposed method implements PFP growth algorithm, which performs pre- processing to improve the utility and privacy trade-off and novel splitting algorithm, to support transformation in the database. To improve the utility...
number." With the development of sophisticated mechanical computing devices in the 20th century,algorithmwas adopted as a convenient word for a recursive mathematical procedure, the computer's stock-in-trade. In its new life as a computer term,algorithm,no longer a variant ofalgorism,nevertheless ...
A sliding window based algorithm for frequent closed itemset mining over data streams 热度: AScalableBottom-UpDataMiningAlgorithm forRelationalDatabases GiovanniGiuffrida ComputerScienceDept. UCLA giovanni@cs.ucla.edu LeeG.Cooper AndersonSchool UCLA ...
Then, we detail anonymization techniques for data mining processes, and mainly Differential Privacy (subsection 5.1.2). 5.1.1 Anonymizing databases Main techniques for anonymizing databases w.r.t. respondent, owner and users' privacy include k-anonymity, t-closeness and l-diversity (Rajendran et ...
Machine Learning and Data Mining Book2007, Machine Learning and Data Mining Igor Kononenko, Matjaž Kukar Explore book 3.5.2 Combining algorithms In the previous section we have reviewed how learning algorithms can be combined in parallel. They are run independently; only their predictions are someh...
As a counterpart to its efficacy, the need for multiple initializations of the K-means algorithm and the complexity of post-processing make probKMA computationally expensive. Outside the FDA domain, a problem similar to functional motif discovery has been tackled by the data mining community – ...
As is true with any promising technology, there are a number of tools for software model checking. However, their respective performance trade-offs are difficult to characterize accu- rately – making it difficult for practitioners to select a suitable tool for the task at hand. This paper ...
(2021) proposed data mining techniques to better understand the underlying causes of intimate partner violence. The critical literature on risk assessment tools has claimed that ‘we have limited understanding of their properties: most notably, whether and how they actually improve decision-making’ (...
For a study on predicting crystal structures with data mining of quantum calculations, see [322]. About quantum optimally controlled transition landscapes, see [323]. About the demonstration of two-qubit algorithms with a superconducting quantum processor, we suggest [4]. A quantum algorithm for ...
Since there is no solution that optimizes at the same times all objectives, one will search for a suitable trade-off instead of an optimal solution. Although some solutions might be considered as equivalent, this trade-off must be such that no strictly better solution exists, though. This inv...