Könyv Association Rule Mining Using Graph and Clustering Technique Seema Redekar

Association Rule Mining Using Graph and Clustering Technique

Szerző: Seema Redekar
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
15 244 Ft
Mining association rules is an essential task for knowledge discovery. From a large amount of data,...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2023
oldal
56
EAN
9786206181125
ISBN
620618112X
Enbook ID
43770094
Súly
102
Méretek
150 x 220 x 4

Teljes leírás

Mining association rules is an essential task for knowledge discovery. From a large amount of data, potentially useful information may be discovered. Association rules are used to discover the relationships of items or attributes among huge data. These rules can be effective in uncovering unknown relationships, providing results that can be the basis of forecast and decision. The effective management of business is significantly dependent on the quality of its decision making. Past transaction data can be analyzed to discover customer behaviors such that the quality of business decision can be improved. The approach of mining association rules focuses on discovering large item sets, which are groups of items that appear together in an adequate number of transactions. The proposed method focuses on a combined approach to generate association rules from a large database of customer transactions. It also helps in identifying rarely occurring events. This approach scans the database once to construct an association graph and clustering tables and then traverses the graph to generate all large item sets.

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