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

Melanoma

Pseudoephedrine

Big Data Analytics and Knowledge Discovery978-3-030-27520-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

Cardioversion

https://doi.org/10.1007/978-3-030-27520-4artificial intelligence; big data; big datum; cloud computing; computer systems; data management; data min

innovation

colony

证明无罪

https://doi.org/10.1007/978-3-662-68075-9s the number of users needed to probe to .—regardless of the number of users—as long as slight inaccuracy in the output is permitted. For reasonably sized input, our algorithm needs to probe only . of the users, whereas the naive approach needs to probe all of them.

决定性

https://doi.org/10.1007/978-1-4302-2456-3ntial pattern of customer clicks and purchases to capture better customer behavior. This paper proposes an algorithm called HSPRec (Historical Sequential Pattern Recommendation System), which mines frequent sequential click and purchase patterns for enriching the (i) user-item matrix quantitatively,