This paper introduces SwissAnalyst, a complete Data Mining environment powered by Weka. SwissAnalyst was developed as an intuitive process layer, which offers all necessary features to place it on par, in terms of functionality, with most major commercial Data Mining software packages. As GNU GPL software, SwissAnalyst offers a license-free platform to develop both proofs of concept for potenti...

This study is driven by the objective of evaluating effectiveness various regression algorithms in prediction slipper quality. The selected were implemented within Waikato Environment for Knowledge Analysis. assessment their performance was conducted through analysis correlation coefficients, providing insights into predictive capabilities. Notably, Random Forest algorithm demonstrated highest ...

Le travail présenté dans ce papier se place dans le contexte d’intégration de nouvelles méthodes de classification basée sur l’Analyse de Concepts Formels sous WEKA et propose une nouvelle famille nommée “Lattice” qui contient six méthodes basées toutes sur la construction d’un treillis de concepts. Le but de la classification est d’organiser un ensemble d’objets en classes homogènes. Les objet...

Data Mining is playing a key role in most enterprises, which have to analyse great amounts of data in order to achieve higher profits. Nevertheless, due to the large datasets involved in this process, the data mining field must face some technological challenges. Grid Computing takes advantage of the low-load periods of all the computers connected to a network, making possible resource and data...

We present an extensible supervised Target-Word Sense Disambiguation system that leverages upon GATE (General Architecture for Text Engineering), NSP (Ngram Statistics Package) and WEKA (Waikato Environment for Knowledge Analysis) to present an end-toend solution that integrates feature identification, feature extraction, preprocessing and classification.

Automation of composition and optimisation of multicomponent predictive systems (MCPSs) made of a number of preprocessing steps and predictive models is a challenging problem that has been addressed in recent works. However, one of the current challenges is how to adapt these systems in dynamic environments where data is changing over time. In this work we propose a hybrid approach combining di...

Nowadays, a great challenge for the teaching work consists in finding the right resources to achieve significant learning in students. However, the fact that every student learns differently from others, leads us to find most appropriate routes to facilitate the learning process, considering that the knowledge of the abilities or multiple intelligences along with being conscious of the inner co...

French L2 Learners of German (FG) often replace the palatal fricative /ç/ absent in French with the post alveolar fricative /S/. In our study we investigate which cues can be used to distinguish whether FG speakers produce [S] or [ç] in words with the final syllables /IS/ or /Iç/. In literature of German as an L2, to our knowledge, this contrast has not yetbeen studied. In this perspective, we ...