Performing massive data mining experiments with multiple datasets and methods is a common task faced by most bioinformatics and computational biology laboratories. WEKA is a machine learning package designed to facilitate this task by providing tools that allow researchers to select from several classification methods and specific test strategies. Despite its popularity, the current WEKA enviro...

Accurately predicting the height of water flowing fractured zone is great significance to coal mine safety mining. In recent years, most mines in China have entered deep Aiming at problem that it difficult accurately predict under condition large mining depth, mining, inclined length working face and coefficient hard rock lithology ratio are selected as main influencing factors zone. The relati...

A residential garden contributes to mental health in modern life. Gardening is a common recreational activity. From the view of the Kansei engineering, designing the garden is a quite difficult subject. Since garden components such as stones and trees are widely diversified, then number of possible design elements becomes quite large. Meanwhile, evaluation samples that can be used for Kansei Ev...

-The health care industry is one of the world’s largest and fastest growing industries having huge amount of healthcare data. This health care data includes relevant information about patient data, their treatment data and resource management data. The information is rich and massive. Hidden relationships and trends in healthcare data can be discovered from the application of data mining techni...

This paper presents a new Windows®-based software utility for WEKA, a data mining software workbench, to simplify large-scale experiment and evaluation with many algorithms and datasets in the classification context. The proposed tool, LEET (Large Experiment and Evaluation Tool) makes it possible to accomplish a variety of tasks that are presently rather difficult or impractical through the sta...

Nowadays, there is a considerable amount of spatiotemporal data available on the web. The visualization of these data requires several visual resources which helps users to have a correct interpretation of the data set. Furthermore, the use of data mining algorithms has proven relevant in helping the exploratory analysis of spatiotemporal data. This paper proposes the GeoSTAT (GEOgraphic Spatio...

ADAMS is a modular open-source Java framework for developing workflows available for academic research as well as commercial applications. It integrates data mining applications, like MOA, WEKA, MEKA and R, image and video processing and feature generation capabilities, spreadsheet and database access, visualizations, GIS, webservices and fast protoyping of new functionality using scripting lan...

With the rapid expansion of supply renewable energy in accordance with global transition policy, wind power generation industry is attracting attention. Subsequently, various turbine control technologies have been widely developed and applied. However, there a lack research on optimal pitch control, which detects direction changes rotation angle blade real time. In areas where speed not strong,...