Background

With advent in data generation, collection and storage technology world is overwhelmed with data everywhere. Following this trend, more and more agricultural data is being collected and stored in databases. As the volume of the data increases, the gap between the amount of the data stored and the amount of the data analyzed increases. The data can be used in productive decision making if appropriate data mining technique is applied. Data mining is a new discipline, lying at the intersection of economics, mathematics, statistics, machine learning, data management and databases. It blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data and has opened up exciting opportunities for analyzing data in new ways.

This training, first of its kind will provide knowledge on many data mining techniques which the agricultural scientists can apply to data sets from their respective domains and present the model which can help in forecasting, prediction, classification or decision making. It is conceived with an idea to provide insight to the participants about the enormous potential of data mining and to explore it in the area of agriculture. It aims to achieve the following.

Objectives

• To make the participants understand the basic concepts of data mining and how these can be used in taking   decisions.

• To sensitize and expose participants to various data analytical tools and techniques.

Course Content

• Data Mining and Business Analytics

• Data analysis software and lab sessions

• Data Mining tools and techniques such as regression, decision trees, forecasting, neural networks, clustering, association rules and some advanced data mining modeling techniques for agriculture.