Impact of floriculture development enhances livelihood of India’s rural women

India’s rural women are involved in various types of work and contribute considerably to the economy. However much of their work is not systematically accounted in the official statistics. India’s governmental and non-governmental data collection agencies admit that there is an under-estimation of tribal women’s contribution as rural workers. This study describes in detail a research project that focuses on the indicators for socioeconomic development in the least developed rural villages by examining the impact of floriculture on the lives of impoverished tribal women who inhabit the harsh drylands of western India.

On Alternating Non-Context-Free Grammars

We study several extensions of the notion of alternation from context-free grammars to context-sensitive and arbitrary phrase-structure grammars. Thereby new grammatical characterizations are obtained for the class of languages that are accepted by alternating pushdown automata.

Mining minimal non-redundant association rules using frequent closed itemsets

The problem of the relevance and the usefulness of extracted association rules is of primary importance because, in the majority of cases, real-life databases lead to several thousands association rules with high confidence and among which are many redundancies. Using the closure of the Galois connection, we define two new bases for association rules which union is a generating set for all valid association rules with support and confidence. These bases are characterized using frequent closed itemsets and their generators; they consist of the non-redundant exact and approximate association rules having minimal antecedents and maximal consequences, i.e. the most relevant association rules. Algorithms for extracting these bases are presented and results of experiments carried out on real-life databases show that the proposed bases are useful, and that their generation is not time consuming.