Frequent pattern mining: current status and future directions
Frequent pattern mining has been a focused theme in data mining research for over a
decade. Abundant literature has been dedicated to this research and tremendous progress …
decade. Abundant literature has been dedicated to this research and tremendous progress …
[图书][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
TFP: An efficient algorithm for mining top-k frequent closed itemsets
Frequent itemset mining has been studied extensively in literature. Most previous studies
require the specification of a min/spl I. bar/support threshold and aim at mining a complete …
require the specification of a min/spl I. bar/support threshold and aim at mining a complete …
Re-examination of interestingness measures in pattern mining: a unified framework
Numerous interestingness measures have been proposed in statistics and data mining to
assess object relationships. This is especially important in recent studies of association or …
assess object relationships. This is especially important in recent studies of association or …
Discovering complex matchings across web query interfaces: a correlation mining approach
To enable information integration, schema matching is a critical step for discovering
semantic correspondences of attributes across heterogeneous sources. While complex …
semantic correspondences of attributes across heterogeneous sources. While complex …
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity
U Yun - Information Sciences, 2007 - Elsevier
Most algorithms for frequent pattern mining use a support constraint to prune the
combinatorial search space but support-based pruning is not enough. After mining datasets …
combinatorial search space but support-based pruning is not enough. After mining datasets …
A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining: Past, Present, and Future Research
Recent advancements in high-speed communications and high-capacity computing systems
have contributed to major growth in the data volume of databases. Data mining is a crucial …
have contributed to major growth in the data volume of databases. Data mining is a crucial …
Automatic complex schema matching across web query interfaces: A correlation mining approach
B He, KCC Chang - ACM Transactions on Database Systems (TODS), 2006 - dl.acm.org
To enable information integration, schema matching is a critical step for discovering
semantic correspondences of attributes across heterogeneous sources. While complex …
semantic correspondences of attributes across heterogeneous sources. While complex …
Using data mining techniques to improve replica management in cloud environment
N Mansouri, MM Javidi, B Mohammad Hasani Zade - Soft Computing, 2020 - Springer
Effective data management is a crucial problem in distributed systems such as data grid and
cloud. This can be achieved by replicating file in a wise manner, which reduces data access …
cloud. This can be achieved by replicating file in a wise manner, which reduces data access …
Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents
FM Nafie Ali, AA Mohamed Hamed - Journal of Information and …, 2018 - Taylor & Francis
The aim of this study is finding approaches for investigating association rules mining
algorithms and clustering to offer new rules from a broad set of discovered rules which taken …
algorithms and clustering to offer new rules from a broad set of discovered rules which taken …