Browsing Department of Computer Science and Information Systems by Subject "Data Streams"

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AnyFI: An Anytime Frequent Itemset Mining Algorithm for Data Streams

Goyal, Navneet; Goyal, Poonam; Challa, Jagat Sesh (IEEE, 2017)

Mining frequent itemsets from transactional data streams has been vastly studied in literature. The existing algorithms mine frequent itemsets within the stream's constrained environment of limited time and memory. However, ...
AnySC: Anytime Set-wise Classification of Variable Speed Data Streams

Goyal, Navneet; Goyal, Poonam; Challa, Jagat Sesh (IEEE, 2018-12)

Classification of data streams has gained a lot of popularity in recent years owing to its multiple applications. In certain applications like community detection from text feeds, website fingerprinting attack, etc., it ...
Anytime Frequent Itemset Mining of Transactional Data Streams

Goyal, Poonam; Goyal, Navneet; Challa, Jagat Sesh (Elsevier, 2020-09)

Mining frequent itemsets from transactional data streams has become very essential in today's world with many applications such as stock market analysis, retail chain analysis, web log analysis, etc. Various algorithms ...

Now showing items 1-3 of 3

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