LIONsolver is an integrated software for
data mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and ...
,
business intelligence
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. Common functions of BI technologies include Financial reporting, reporting, online an ...
,
analytics
Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data sc ...
, and
modeling and
reactive business intelligence approach. A non-profit version is also available as LIONoso.
LIONsolver is used to build models, visualize them, and improve business and engineering processes.
It is a tool for decision making based on data and quantitative model and it can be connected to most databases and external programs.
The software is fully integrated with the
Grapheur business intelligence and intended for more advanced users.
Overview
LIONsolver originates from research principles in Reactive Search Optimization advocating the use of self-tuning schemes acting while a software
system is running. Learning and Intelligent OptimizatioN refers to the integration of online
machine learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of Computational statistics, statistical algorithms that can learn from data and generalise to unseen data, and thus perform Task ( ...
schemes into the optimization software, so that
it becomes capable of learning from its previous runs and from human feedback.
A related approach is that of Programming by Optimization,
which provides a direct way of defining design spaces involving Reactive Search Optimization, and
of Autonomous Search
advocating adapting problem-solving algorithms.
Version 2.0 of the software was released on Oct 1, 2011, covering also the Unix and Mac OS X operating
systems in addition to Windows.
The modeling components include neural networks, polynomials, locally weighted Bayesian regression, k-means clustering, and self-organizing maps. A free academic license for non-commercial use and class use is available.
The software architecture of LIONsolver
permits interactive
multi-objective optimization
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of MCDM, multiple-criteria decision making that is concerned ...
, with a user interface for visualizing the results and facilitating
the solution analysis and decision-making process.
The architecture allows for problem-specific extensions, and it is
applicable as a post-processing tool for all optimization schemes with a number of
different potential solutions. When the architecture is tightly coupled to a specific
problem-solving or optimization method, effective interactive schemes where the
final decision maker is in the loop can be developed.
On Apr 24, 2013 LIONsolver received the first prize of the
Michael J. Fox Foundation –
Kaggle
Kaggle is a data science competition platform and online community for data science, data scientists and machine learning practitioners under Google LLC. Kaggle enables users to find and publish datasets, explore and build models in a web-based d ...
Parkinson's Data Challenge, a contest leveraging "the wisdom of the crowd" to benefit people with
Parkinson's disease
Parkinson's disease (PD), or simply Parkinson's, is a neurodegenerative disease primarily of the central nervous system, affecting both motor system, motor and non-motor systems. Symptoms typically develop gradually and non-motor issues become ...
.
See also
*
Multi-objective optimization
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of MCDM, multiple-criteria decision making that is concerned ...
References
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External links
LIONsolver official non-profit site
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