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The paper is about the clustering on large numeric data sets using hierarchical method. In this BIRCH approach is used, to reduce the amount of data, for this a hierarchical clustering method was applied to pre-process the dataset. Now a day’s web information plays a prominent role in the web technology, large amount of data is consumed to communicate, but some with intruders there is loss of data or may changes occur in the interaction, so to recognize intruders they detect to build an intrusion detection system for this a hierarchical approach is used to classify network traffic data accurately. Hierarchical clustering is performed By taking network as an example. The clustering method could produce high quality dataset with far less instances that sufficiently represent all of the instances in the original dataset.
D. Pramodh Krishna. 2012. \u201cClustering On Large Numeric Data Sets Using Hierarchical Approach: Birch\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C12): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 108
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: D. Pramodh Krishna,Dr. A. Senguttuvan,T. Swarna Latha (PhD/Dr. count: 1)
View Count (all-time): 239
Total Views (Real + Logic): 10239
Total Downloads (simulated): 2447
Publish Date: 2012 08, Tue
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The paper is about the clustering on large numeric data sets using hierarchical method. In this BIRCH approach is used, to reduce the amount of data, for this a hierarchical clustering method was applied to pre-process the dataset. Now a day’s web information plays a prominent role in the web technology, large amount of data is consumed to communicate, but some with intruders there is loss of data or may changes occur in the interaction, so to recognize intruders they detect to build an intrusion detection system for this a hierarchical approach is used to classify network traffic data accurately. Hierarchical clustering is performed By taking network as an example. The clustering method could produce high quality dataset with far less instances that sufficiently represent all of the instances in the original dataset.
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