Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
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AITION is a scalable, user-friendly, and interactive data mining (DM) platform, designed for analyzing large heterogeneous datasets. Implementing state-of-the-art machine learning algorithms, it successfully utilizes generative Probabilistic Graphical Models (PGMs) providing an integrated framework targeting feature selection, Knowledge Discovery (KD), and decision support. At the same time, it offers advanced capabilities for multi-scale data distribution representation, analysis & simulation, as well as, for identification and modelling of variable associations. AITION is built on top of Athena Distributed Processing (ADP) engine, a next generation data-flow language engine, capable of supporting large-scale KD on a variety of distributed platforms, such as, ad-hoc clusters, grids, or clouds. On the front end, it offers an interactive visual interface that allows users to explore the results of the KD process. The end result is that users not only understand the process that led to a statistical conclusion, but also the impact of that conclusion on their hypotheses. In the proposed demonstration, we will show AITION in action at various stages of the knowledge discovery process, showcasing its key features regarding interactivity and scalability against a variety of problems.