This paper conceptualizes how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. The concept of governmentality and four dimensions of an analytics of government are proposed as a theoretical framework to examine how...

Entity-relationship (ER) modeling is a widely accepted technique for conceptual database design. However, the complexities inherent in large ER diagrams have restricted the effectiveness of their use in practice. It is often difficult for end-users, or even for well-trained database engineers...

Wireless Sensor Network (WSN) is a large collection of tiny self-aware, battery-operated, analyzable sensor network which integrates sensing, computation and communication in a single tiny device. These tiny devices can be used for ample number of remote sensing applications. Increasing network...

Agriculture is backbone of India. Data mining is a technique to extract the knowledge from the huge amount of datasets. Clustering is used to classify the similar group of objects in the unknown dataset. Here, in this paper clustering techniques was implemented for the analysis of Agriculture...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...