Cardiovascular Disease (CVD) is the foremost cause of death worldwide that generates a high percentage Electronic Health Records (EHRs). Analyzing these complex patterns from EHRs tedious process. To address this problem, Medical Institutions requires effective Predictive Algorithms for Prognosis and Diagnosis Patients. Under work, current state-of-the-art studied to identify leading Algorithms...

The Waikato Environment for Knowledge Analysis (WEKA) came about through the perceived need for a unified workbench that would allow researchers easy access to state-of the-art techniques in machine learning algorithms for data mining tasks. It provides a general-purpose environment for automatic classification, regression, clustering, and feature selection etc. in various research areas. This ...

The service oriented architecture (SOA) paradigm can be exploited for the implementation of data and knowledge-based applications in distributed environments. The Web Services Resource Framework (WSRF) has recently emerged as the standard for the implementation of Grid services and applications. WSRF can be exploited for developing high-level services for distributed data mining applications. T...

Mining of the Data now a day plays a major role and concern in the present world in the industry and also in the research areas. -Data mining is the process of extracting hidden information from a large set of database and it can help researchers gain both novel and deep insights of unprecedented understanding of large biomedical datasets. Data mining can uncover new biomedical and healthcare k...

This paper presents an effective implementation of data preprocessing methodology and data mining referring to integrate decision rules as part of manually written expert system (expert knowledge) with models inducted from data. The methods we have used are standard methods for data pre-processing, including techniques for handling missing data, feature construction, transformation and aggregat...

The main current evolutions in industrial design research are the following : 1 The computerization of the early design phases 2 Consumer and user centered design with in particular emotional design 3 The concurrent engineering, with collaborative work supporting tools Our goal is to modelize the preliminary phases of traditional industrial design process, in order to build new computer aided d...

The Web Services Resource Framework (WSRF) has recently emerged as the standard for the implementation of Grid applications. WSRF can be exploited for developing high-level services for distributed data mining applications. This paper describes Weka4WS, a framework that extends the widely-used Weka toolkit for supporting distributed data mining on WSRF-enabled Grids. Weka4WS adopts the WSRF tec...

Investment in the related stocks in share market plays vital role for investors. Variation in stock price is the barometer of growth of companies/sectors. Association Rule mining is one of the fundamental research topics in data mining and knowledge discovery that identifies interesting relationships between itemsets and predicted the associative and correlative behaviour for new data. In the p...

A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial outliers can lead to the discovery of unexpected, interesting, and useful spatial patterns for further analysis. WEKA is a collection of machine learning algorithms for solving real-world data mining problems. It is writ...

Cardiovascular diseases remain the most prevalent cause of deaths worldwide and their prevention requires major life-style changes using limited health-care resources. Remote decision support for cardiovascular patients seems to allow them to lead a productive life and to minimize the costs of treatment. In this paper, risk estimation of cardiovascular patients on the basis of collected data us...