Dengue is a eviscerate disease common in tropical countries. It is also known as break-bone fever. Dataset for dengue gives information about the patient suffering with the dengue disease. The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue. The main objective of this study is to calculate the performance of various classification Techniques and compare their performa...

Dengue is a life threatening disease prevalent in several developed as well as developing countries like India. This is a virus born disease caused by breeding of Aedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease and without dengue disease along with their symptoms like: Fever Temperature, WBC, Platelets, Severe Headache...

TAMPERE UNIVERSITY OF TECHNOLOGY Master's Degree Programme in Information Technology MINAEV, GEORGY: Comparing GUHA and Weka Methods in Data Mining Master of Science Thesis, 67 pages, 0 Appendix pages 07 November 2012 Major: Mathematics Examiner: Associate Professor Esko Turunen and Professor Ari Visa

The Weka4GML framework has been designed to meet the requirements of distributed data mining. In this paper, we present the Weka4GML architecture based on WSRF technology for developing meta-learning methods to deal with datasets distributed among Data Grid. This framework extends the Weka toolkit to support distributed execution of data mining methods, like meta-learning. The architecture and ...

This paper presents robust recognition of selected emotions from salient spoken words. The prosodic and acoustic features were used to extract the intonation patterns and correlates of emotion from speech samples in order to develop and evaluate models of emotion. The computed features are projected using a combination of linear projection techniques for compact and clustered representation of ...

This paper takes a classical machine learning approach to the task of dialogue act segmentation. A thorough empirical evaluation of features, both used in other studies as well as new ones, is performed. An explorative study to the effectiveness of different classification methods is done by looking at 29 different classifiers implemented in WEKA. The output of the developed classifier is exami...

Software packages providing a whole set of data mining and machine learning algorithms are attractive because they allow experimentation with many kinds of algorithms in an easy setup. However, these packages are often based on main-memory data structures, limiting the amount of data they can handle. In this paper we use a relational database as secondary storage in order to eliminate this limi...

Penelitian ini dilatarbelakangi oleh meningkatnya penggunaan WiFi di Indonesia yang menyebabkan peningkatan jumlah pelanggan PT. Telkom Akses. Efek sering keterlambatan proses layanan. bertujuan untuk mengklasifikasikan keadaan pelayanan sebagai normal atau tidak berdasarkan data Telkom. Pada penelitian ini, kami mengimplementasikan mining dengan menggunakan metode k-nearest neighbor. Data digu...