Titlebook: Big Data Analytics and Knowledge Discovery; 21st International C Carlos Ordonez,Il-Yeol Song,Ismail Khalil Conference proceedings 2019 Spri

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书目名称Big Data Analytics and Knowledge Discovery被引频次学科排名




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amphibian

观点

Compassionate

间谍活动

Mining Sequential Patterns of Historical Purchases for E-commerce Recommendationin its user-item matrix input, to make it more informative before collaborative filtering. Existing recommendation systems that attempt to use mining and some sequences are those referred to as LiuRec09, ChoiRec12, SuChenRec15, and HPCRec18. These systems use mining based techniques of clustering, f

attenuate

Discovering and Visualizing Efficient Patterns in Cost/Utility Sequencesta. In sequential pattern mining, patterns are selected based on criteria such as the occurrence frequency, periodicity, or utility (eg. profit). Although this has many applications, it does not consider the effort or resources consumed to apply these patterns. To address this issue, this paper prop

circumvent

Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAPtransition pattern ., movement pattern .) on sequence data and executes multi-dimensional aggregate using . (such as . and .) and . (such as . and .). The pattern OLAP operations are specific to Sequence OLAP and involve a hierarchy of multiple patterns. When sequence data is stored in relational da

厚颜无耻

Statistically Significant Discriminative Patterns Searchingiginal enumeration strategy of the patterns, which allows to exploit some degrees of anti-monotonicity on the measures of discriminance and statistical significance. Experimental results demonstrate that the performance of the SSDPS algorithm is better than others. In addition, the number of generat

Audiometry

Statins

RDFPartSuite: Bridging Physical and Logical RDF Partitioningexibility motivated the use of this standard in other domains and today RDF datasets are big sources of information. In this line, the research on scalable distributed and parallel RDF processing systems has gained momentum. Most of these systems apply partitioning algorithms that use the triple, th