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Data mining techniques are useful to discover hidden patterns from the large databases. Association rule mining is one of the important data mining techniques to discover relationships between items or item sets. In many organizations the database may exist in centralized or in distributed environment.In distributed environment, database may be partitioned in different ways such as horizontally partitioned, vertically partitioned and mixed mode which consists of both horizontal and vertical partitioning methods. The sites in the distributed environment interested to find association rules by participating themselves in the mining process without disclosing their individual private data/information. In this paper, a new model is proposed to find association rules by satisfying the privacy constraints for vertically partitioned databases at n number of sites along with data miner. This model adopts cryptography techniques such as encryption, decryption techniques and scalar product technique to find association rules efficiently and securely for vertically partitioned databases.

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The early prognosis of cardiovascular diseases can aid in making decisions to lifestyle changes in high risk patients and in turn reduce their complications. Research has attempted to pinpoint the most influential factors of heart disease as well as accurately predict the overall risk using homogenous data mining techniques. Recent research has delved into amalgamating these techniques using approaches such as hybrid data mining algorithms. This paper proposes a rule based model to compare the accuracies of applying rules to the individual results of logistic regression on the Cleveland Heart Disease Database in order to present an accurate model of predicting heart disease.

Nowadays privacy issues are major concern for many government and other private organizations to delve important information from large repositories of data.

As the growth of mobile users increasing in the present scenario and because of limited bandwidth available, there is a need to efficiently use the bandwidth available. The quality of service can be maximized by efficient bandwidth reservation. In this paper, the cross layer based bandwidth reservation scheme is proposed which initially reserves some amount of bandwidth for handoff flows. After that the bandwidth can be increased for handoff flows by the base station based on the user mobility. The user may not only go straight but also left, right and backwards. This paper considers all possibilities of user movements and bandwidth is reserved accordingly. Therefore making the base stations to dynamically increase the reserved bandwidth for handoffs when the initially reserved bandwidth is insufficient reduces the end to end delay and increases the throughput of the system. The proposed system performance is compared with the legacy systems and is shown to be better.