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Bouakkaz et al., 2018 - Google Patents

Efficiently mining frequent itemsets applied for textual aggregation

Bouakkaz et al., 2018

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Document ID
1460342757938845875
Author
Bouakkaz M
Ouinten Y
Loudcher S
Fournier-Viger P
Publication year
Publication venue
Applied Intelligence

External Links

Snippet

Text mining approaches are commonly used to discover relevant information and relationships in huge amounts of text data. The term data mining refers to methods for analyzing data with the objective of finding patterns that aggregate the main properties of the …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06F17/30705—Clustering or classification
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    • G—PHYSICS
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