Anomaly detection using agglomerative hierarchical clustering algorithm
FA Mazarbhuiya, MY AlZahrani, L Georgieva - Information Science and …, 2019 - Springer
Intrusion detection is becoming a hot topic of research for the information security people.
There are mainly two classes of intrusion detection techniques namely anomaly detection …
There are mainly two classes of intrusion detection techniques namely anomaly detection …
[PDF][PDF] A fuzzy based document clustering algorithm
K Thaoroijam, AK Mahanta - International Journal of Computer …, 2016 - researchgate.net
Document clustering is an automatic grouping of text documents into clusters so that
documents within a cluster have high similarity values among one another, but dissimilar to …
documents within a cluster have high similarity values among one another, but dissimilar to …
[PDF][PDF] Clustering of Locally Frequent Patterns over Fuzzy Temporal Datasets
M Husamuddin, FA Mazarbhuiya - International Journal of …, 2015 - researchgate.net
The study of discovering frequent patterns in a dataset is a well defined data mining
problem. There are many approaches to resolve this problem including. Clustering is one of …
problem. There are many approaches to resolve this problem including. Clustering is one of …
[HTML][HTML] A novel approach for clustering periodic patterns
FA Mazarbhuiya - International Journal of Intelligence Science, 2016 - scirp.org
The process of extracting patterns that are frequent from supermarket datasets is a well
known problem of data mining. Nowadays, we have many approaches to resolve the …
known problem of data mining. Nowadays, we have many approaches to resolve the …
[PDF][PDF] Clustering periodic frequent patterns using fuzzy statistical parameters
FA Mazarbhuiya, M Abulaish - International Journal of Innovative … - researchgate.net
Frequent pattern mining from super-market transaction datasets is a wellstated data mining
problem and consequently there are number of approaches including association rule …
problem and consequently there are number of approaches including association rule …
Year of Publication: 2016
K Thaoroijam, AK Mahanta - 2016 - academia.edu
Document clustering is an automatic grouping of text documents into clusters so that
documents within a cluster have high similarity values among one another, but dissimilar to …
documents within a cluster have high similarity values among one another, but dissimilar to …
[引用][C] Clustering of Locally Frequent Patterns over Fuzzy Temporal Datasets usinga N ew S imilarity M easure
FA Mazarbhuiya - International Journal of Advance Research in …, 2016