Data Analysis and Mining
Data Analysis and Mining
The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
gamma distribution, data partitioning, trust propagation, social network analysis, online social network, frequent subtree, load balancing, deep neural network, parallel algorithms, ddc:519, Fisher test, commodity video, uniformly most powerful test, constrained likelihood ratio test, trust inference, chi-square test, key interested frame, clustering
gamma distribution, data partitioning, trust propagation, social network analysis, online social network, frequent subtree, load balancing, deep neural network, parallel algorithms, ddc:519, Fisher test, commodity video, uniformly most powerful test, constrained likelihood ratio test, trust inference, chi-square test, key interested frame, clustering
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!