Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Itemsets"”.
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Scaling data mining activities on very large datasets
… To address the manageability of frequent itemsets, a concise disk-based representation, with a set of querying techniques, is proposed. This work has been preliminarly validated in the Semantic Web domain, to identify semantic relationships from textual collections with a semi-automatic …
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A Sampling-Based Framework for Parallel Mining Frequent Patterns
… parallel algorithms for mining frequent itemsets, sequential patterns and closed-sequential patterns following our framework. A comprehensive performance study has been conducted in our experiments on both synthetic and real-world datasets. The experimental results have shown that our …
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Strategy and methodology for enterprise data warehouse development. Integrating data mining and social networking techniques for identifying different communities within the data warehouse.
… tables as items. Then, we mine closed frequent itemsets of tables; these itemsets include tables that are mostly accessed together and hence should be treated as one unit in storage and retrieval for better overall performance. We utilize social network construction and analysis to find …
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Enhancing association rules algorithms for mining distributed databases. Integration of fast BitTable and multi-agent association rules mining in distributed medical databases for decision support.
… BitWise AND/OR operations for quick candidate itemsets generation and support counting. Moreover, the algorithm includes three transaction trimming techniques to reduce the size of the mined data. Third, we propose the Pruning Multi-Agent Association Rules algorithm (PMAAR) which includes three …
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Modeling and Analysis of Regulatory Elements in Arabidopsis thaliana from Annotated Genomes and Gene Expression Data
… maximal bicliques of genes and motifs, called itemsets. An itemset consists of a set of genes (called a geneset) and a set of motifs (called a motifset) such that every motif in the motifset occurs in the promoter of every gene in the geneset. XcisClique differs from existing tools of the same …
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Algorithmes pour la découverte de motifs profitables
… fréquents, qui consistent à découvrir des itemsets (ensemble d'articles) achetés fréquemment dans des transactions de consommateurs. Les algorithmes classiques pour ce problème souffrent toutefois d'une limite importante : ils ne considèrent pas la quantité des articles (items) dans …
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Data mining with bilattices
… most of the works focuses on finding patterns on itemsets, especially associations between items. With the fast development of high technologies and large scale of information collection tools, the need for data mining has gone far beyond association mining. In this thesis, a new framework is …
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Mining User Facebook Post Likes for Cross Domain Product Recommendations across E- commerce platforms
… users from both domains, transforming then into itemsets. A modified association rule mining is applied uncover patterns of frequent co-occurrence between user Facebook post likes and e-commerce transactions as rules. It then uses the proposed HARR (Hybrid Association Rule Recommendation) …
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LARGE-SCALE DATA ANALYSIS OF GENE EXPRESSION MAPS OBTAINED BY VOXELATION
… that the detected association rules (frequent itemsets of gene functions) make sense biologically. By inspecting the obtained clusters and the genes having the same frequent itemsets of functions, interesting clues were discovered that provide valuable insight to biological scientists. The …
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New Approaches to Frequent and Incremental Frequent Pattern Mining
… and creates candidates only for level one (1-itemsets) which is equivalent to the total number of unique items in the database. In addition, we also show the results of choice of data structures used whether they are probabilistic or not, whether the datasets are horizontal or vertical, how …