Sequential Data Clustering

door Kakara, Santhi Sree
Staat: Nieuw
€ 54,88
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Kakara, Santhi Sree Sequential Data Clustering
Kakara, Santhi Sree - Sequential Data Clustering

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Levering: tussen 2021-05-25 en 2021-05-27
Verkoop en verzending: Dodax EU

Omschrijving

In this work, a new similarity measure called SSM (Sequence similarity measure) is developed that shows the impact of clustering when both sequence and content information is incorporated while computing similarity . SSM-DBSCAN and SSM-OPTICS, which are the extended versions of DBSCAN and OPTICS clustering techniques. SSM (Sequence similarity measure ) is used to capture both the order of occurrence of page visits and page information itself. The results in turn are compared with Euclidean, Jaccard, Cosine, and Fuzzy similarity measures.A variety of experiments are performed on MSNBC.COM website which is a free news data website with multiple categories of news in the context of density based clustering , using existing methods( DBSCAN and OPTICS) and newly developed SSM-DBSCAN and SSM-OPTICS. This SSM new similarity measure has significant results when compared to other existing similarity/distance measures. Good time requirements of the newly developed algorithms are as well represented.

Bijdragers

Schrijver:
Kakara, Santhi Sree
Aliseri, Govardhan
Ronanki, Kranthi Kumar

Productdetails

Biografie:
Prof.Dr.K.Santhi Sree is presently working as a Professor at School of Information Technology. She was an Additional Controller of Examinations and presently as a coordinator for SCDE till date. Her areas of interest include Data mining, Data algorithms, Data structures, Information Retrieval Systems.she is member of CSI,IEI,ISTE,IETE
Taal:
Englisch
Aantal pagina’s:
96
Mediatype:
Taschenbuch
Uitgever van videogames:
LAP Lambert Academic Publishing

Basisgegevens

Product Type:
Paperback book
Afmetingen pakket:
0.22 x 0.15 x 0.006 m; 0.191 kg
GTIN:
09783659333224
DUIN:
5I3OM6B52C9
€ 54,88
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