Technological advancement has enabled us to store and process huge amount of data in
relatively short spans of time. The nature of data is rapidly changing, particularly its …

Clustering is an automatic learning technique which aims at grouping a set of objects into
clusters so that objects in the same clusters should be similar as possible, whereas objects …

Clustering algorithm plays a vital role in organizing large amount of information into small
number of clusters which provides some meaningful information. Clustering is a process of …

Nowadays, zero-day Denial-of-Service (DoS) attacks become frighteningly common in high-
speed networks due to constantly increasing number of vulnerabilities. Moreover, these …

Clustering is a technique to group the data objects in such a way that the data objects of a
group are similar to each other in that group and dissimilar to the data objects of other …

Analysing historical drought pattern is vital for implementation of efficient drought adaptation
and mitigation policies. In this study, we examined the meteorological drought …

Clustering is the task of grouping the object based on similarity and dissimilarity. In the
Datamining, Hierarchical Clustering algorithm is one of the most important and useful …

Clustering is one of the prime topics in data mining. Clustering partitions the data and
classifies the data into meaningful subgroups. Document clustering is a set of the document …

The major evolution of the semantic web has become exchanging data between
applications in all domains of activities. Based on this vision, different applications in recent …

Identifying families of malware is today considered a fundamental problem in the context of
computer security. The correct mapping of a malicious sample to a known family simplifies …