Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

Big and open linked data are often mentioned together because storing, processing, and
publishing large amounts of these data play an increasingly important role in today's society …

In this paper, we propose a constraint preserving algorithm for the smallest Z-eigenpair of
the compact Laplacian tensor of an even-uniform hypergraph, where Householder transform …

In the era of Big Data, a massive amount of data is generated and collected, continually,
from various sources. To use these data for their optimum value, ie to uncover correlations …

We make the case for conceptual models that give the human designer full visibility and
control over key aspects of ML applications, including input data preparation, training and …

Big Data, true to its name, it deals with large volumes of data characterized by volume,
variety and velocity. Big data has made the development of highly capable online search …

Big data has shown the great potential in optimizing data, making decisions, spotting
business trends in various fields such as manufacturing, finance and Information …

We are inundated in a flood of data today. Data is being collected at a rapid scale from
variety of sources like healthcare, e-commerce, social networking and so on. Decisions …

Well managed information promotes competitive advantage and economic value for the
company. The challenge is to use information effectively in complex networks. Decision …

We have developed an ad-hoc wireless positioning network (AWPN) to realize on-demand
indoor location-based services [10]. This paper extends our AWPN to handle huge number …