The status of weka on Mokoia Island was assessed in two ways: (1) by surveying the number of weka on the island using two methods: call broadcast and unsolicited call survey, and (2) by capturing weka. Using our call broadcast technique we have estimated the population of weka on the island between 90 and 120 birds. However, several areas of the island were not surveyed. We caught 12 birds in 1...

The objective of the paper is to compare two data mining tools on the basis of various estimation criteria. The data mining tools which are evaluated are WEKA and DTREG. These tools are used to build multilayer perceptron which is a data mining model to predict the survivability of the oral cancer patients. Oral cancer database is considered as it is estimated to be 8th most common cancer world...

In the area of clustering, proposing or improving new algorithms represents a challenging task due to an already existing well-established list and various implementations that allow rapid evaluation against tasks on publicly available datasets. this work, we present improved version MTree clustering algorithm has been implemented within Weka workbench. The algorithmic approach starts from clas...

The WEKA (Waikato Environment for Knowledge Analysis) system provides a comprehensive suite of facilities for applying data mining techniques to large data sets. This paper discusses a process model for analyzing data, and describes the support that WEKA provides for this model. The domain model ‘learned’ by the data mining algorithm can then be readily incorporated into a software application....

Big Data consists of voluminous, high-velocity and high-variety datasets that are increasingly difficult to process using traditional methods. Data Mining is the process of discovering knowledge by analysing raw datasets. Traditional Data Mining tools, such as Weka and R, have been designed for single-node sequential execution and fail to cope with modern Big Data volumes. In contrast, distribu...

WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework is JCLEC, which has been successfully employed for developing several EAs. The combination of both may lead in a mutual benefit. Thus, this paper proposes an intermediate layer t...

The Waikato Environment for Knowledge Analysis (Weka) is a comprehensive suite of Java class libraries that implement many state-of-the-art machine learning and data mining algorithms. Weka is freely available on the World-Wide Web and accompanies a new text on data mining [1] which documents and fully explains all the algorithms it contains. Applications written using the Weka class libraries ...