Ensemble learning algorithms such as AdaBoost and Bagging have been in active research and shown improvements in classification results for several benchmarking data sets with mainly decision trees as their base classifiers. In this paper we experiment to apply these Meta learning techniques with classifiers such as random forests, neural networks and support vector machines. The data sets are ...

Many algorithms for data analysis exist, especially for classification problems. To solve a data analysis problem, a proper algorithm should be chosen, and also its hyperparameters should be selected. In this paper, we present a new method for the simultaneous selection of an algorithm and its hyperparameters. In order to do so, we reduced this problem to the multi-armed bandit problem. We cons...

The objective of the study focused on weighted based frequent item set mining. The base paper has proposed multi criteria based frequent item set for weight calculation. Contribution towards this project is to implement the global profit weight measure and test the performance over utility based mining. For this project the data consist of 90 products from automobile shop including unit price, ...

A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could be used effectively for automatic species identification. Feature vectors were extracted from each of the moth images and the machine learning toolkit WEKA was used to classify the moths by species using the feature ...

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...

Despite a large amount of research devoted to improving meta-learning techniques, providing and using background knowledge for this task remains a challenge. In this paper we propose a mechanism for automatic recommendation of suitable machine learning algorithms and their parameters. We used OpenML database and use rule-based configurator to improve Auto-WEKA tool. This paper discusses the con...

The “Universidad Politécnica de Aguascalientes” is an institution who’s interested in quality education, ensuring the control of the subjects that are imparted in a long term in the mayor. Taking this on account, the design and development of a Moodle platform focused on data mining was planted, this subject is currently given to ninth quarter students. In order to re-inforce the knowledge that...

Ao and Hanson, and Guiduli, Gyy arff as, Thomass e and Weidl independently, proved the following result: For any tournament score sequence S = (s 1 ; s 2 ; : : : ; s n) with s 1 s 2 s n , there exists a tournament T on vertex set f1; 2; : : : ; ng such that the score of each vertex i is s i and the sub-tournaments of T on both the even and the odd indexed vertices are transitive in the given or...