Dismissal in industrial employment

This is a study in labour law.. Dismissal of workmen in private lndustrial sector is the area of this study. Confined within the framework of the Industrial Disputes act 1947, the study is an analytical assessment of the decisions of the supreme Court of India. on dismissal in industrial employment. Few attempts were made in the past to analyse on identical lines the problems in this area. Hence what is| written in this thesis is ones own. Dismissal carries a stigma. the dismissed employee may find it difficult to get alternative employment especially in a land of severe unemployment. The need for law with built in safeguards against arbitrary dismissal cannot be overemphasized. From this perspective the study examines to what extent the industrial disputes act 1947 provides protection and how far the protection is adequate.

Prediction of Key Symptoms of Learning Disabilities in School-Age Children Using Rough Sets

This paper highlights the prediction of learning disabilities (LD) in school-age children using rough set theory (RST) with an emphasis on application of data mining. In rough sets, data analysis start from a data table called an information system, which contains data about objects of interest, characterized in terms of attributes. These attributes consist of the properties of learning disabilities. By finding the relationship between these attributes, the redundant attributes can be eliminated and core attributes determined. Also, rule mining is performed in rough sets using the algorithm LEM1. The prediction of LD is accurately done by using Rosetta, the rough set tool kit for analysis of data. The result obtained from this study is compared with the output of a similar study conducted by us using Support Vector Machine (SVM) with Sequential Minimal Optimisation (SMO) algorithm. It is found that, using the concepts of reduct and global covering, we can easily predict the learning disabilities in children