Epilepsy is a disorder of the brain characterized by seizures and requires constant
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …

The k-means algorithm is a widely used method that starts with an initial partitioning of the
data and then iteratively converges towards the local solution by reducing the Sum of …

This paper presents an Artificial Bee Colony (ABC) optimization based algorithm for co-
clustering of high-dimensional data. The ABC algorithm is used for optimization problems …

Research in crash severity prediction is necessary to allow safety planners to take
precautionary measures and enable first aiders to remain prepared for assisting the injured …

This paper presents a new semantic kernel for classification of high-dimensional data in the
framework of Support Vector Machines (SVM). SVMs have gained widespread application …

In deterministic graphs, an edge between two vertices denotes a certain link. In contrast, in
probabilistic graph, a link between two vertices merely implies the possibility of its existence …

Plagiarism in text documents can be done in many ways. The most common form of
plagiarizing a text document is to copy a chunk of text and alter it intelligently, thereby …

In many clustering problems, we have access to multiple sources of data representing
different aspects of the problem. Each of these data separately represents an association …

Biclustering of gene expression data aims at finding localized patterns in a subspace. A
bicluster (sometimes called a co-cluster), in the context of gene expression data, is a set of …

Traditional polymer processing techniques results in thermal degradation of the desired
mechanical properties of a component. Incremental sheet forming (ISF), an innovative …