No abstract

A study was carried out on the impact of quarrying and crushing waste on the quality of soil in Tumkur District. The quarries located in different parts of Tumkur District produces quarry wastes (aggregates), blasted materials (fly rocks), chemicals (explosives used for blasting) and dust (granite powder) generated from activity are spread and settled in the surrounding area. The soil samples were collected both near and away from the quarry and crushing sites. The collected samples were analyzed for various physico-chemical parameters viz temperature, pH, EC, organic carbon, nitrogen, potassium, phosphorus, zinc, copper, manganese, iron and boron using standard methods. The results revealed the deterioration of soil quality near the quarrying and crushing sites and this can be attributed due to the accumulation of dust. The soil properties are less affected away from the quarry sites.

Abstract-Association rule mining is a process of finding the frequent item sets based on the interestingness measure. The major challenge exists when performing the association of the data where privacy preservation is emphasized. The actual transaction data provides the evident to calculate the parameters for defining the association rules. In this paper, a solution is proposed to find one such parameter i.e. support count for item sets on the non transparent data, in other words the transaction data is not disclosed. The privacy preservation is ensured by transferring the x-anonymous records for every transaction record. All the anonymous set of actual transaction record perceives high generalized values. The clients process the anonymous set of every transaction record to arrive at high abstract values and these generalized values are used for support calculation. More the number of anonymous records, more the privacy of data is amplified. In experimental results it is shown that privacy is ensured with more number of formatted transactions.