MétierView - Product - Web Visualizer

By: Métierview  09-12-2011
Keywords: engine, Data Mining, Neural Networks

MetierView’s Predictive Analytics is based on the state-of-the-art machine learning algorithms such as neural networks and fuzzy computation, to form a hybrid algorithm. The technologies are the results of more than ten years of R&D.

Introduction

Artificial neural networks (ANNs) resembled the human nervous system, with algorithms consisting of weighted interconnecting processing units (like neural map of the human brain). To address a particular problem using ANNs, the interrelated connections are tuned and the value of weights between units is adjusted. ANNs are tried and tested artificial intelligence technology for superior pattern recognition. Pattern recognition offers benefits of solving practical problems in the business, medical and engineering world.

Proper data preprocessing, architecture selection and network training are required to reap the best from ANNs. The arduous task to optimized ANNs is alleviated with MetierView Predictive Analysis, the ANNs engine that is simplified for use. Certain parameters are optimally set while others can be tuned. The aim is to let users obtained the best from ANNs without the need to acquire the knowledge of a rocket scientist.

MetierView Predictive Analysis component engine is based on Autonomous Adaptive AlgorithmTM (AAA), a hybrid artificial neural networks (ANNs) technology. AAA synergistically matches state-of-the-art machine learning algorithms such as neural computation, fuzzy computation, and evolutionary computation to form a hybrid algorithm. AAA combines the best features from all three methodologies to produce neural-fuzzy, fuzzy-evolutionary, and/or evolutionary-neural models.

MetierView Predictive Analysis comprised methods and algorithms specially configured and evaluated by MetierView's experts for optimized application on neural network-based solutions. MetierView Predictive Analysis provides the best-of-breed artificial neural networks technology to be infused into real world software products to achieve optimal solutions to specific problems, yielding numerous returns in terms of best results, enhanced value and competitive edge.

Key Features

  • Automated/Manual Parameters Selection
  • Rule Extraction and Pruning Strategy
  • Retrieve Old Knowledge
  • Multiple Classifier System
  • Multiple Jobs

Neural Network-based Application in Financial Sector

 Most of the world top financial lenders use data mining solutions in constructing their behavioral scoring models. Data can be refined and manipulated prior to the modeling phase using linear and logistic regression as well as nonlinear tools, like decision trees and neural networks, to search for patterns. Data mining speeds model development, and its ability to graphically display these patterns helps analysts and managers understand and use the results. (from report titled “Unleashing the Power – Driving Profit through Risk-based Mortgage Collections”, commissioned by Mortagage Bankers Association, www.mortgagebankers.org, conducted by Deloitte & Touche LLP).

Neural-network based modelling application is used in variety of financial applications. Some form of neural network capabilities are offered by major software vendors such as IBM (in its Intelligent Miner), Microsoft (in its SQL Server Analysis Service and Data Mining), SAS (in its Data Mining Engine), and SPSS (in its BI solution).

Keywords: Data Mining, engine, Neural Networks

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MétierView - Product - Web Visualizer - highlighted features

MetierView Predictive Analysis provides rule explanation capability to gain a wider degree of user acceptance on the results and to let user understand the potential and ability of the trained engine in handling classification problems. MetierView Predictive Analysis enables user to retrieve old prototypes from the database and combine them with new input samples to form new prototypes.


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MétierView - Business Decisions Made Simple

This makes the courses more applicable to the workplace during your users' training and, because it is more relevant to them, it helps your trainees retain more of the information they are learning. Solutions Training As a complement to our classroom offerings that train on the technical aspects of our solution, this training covers planning, integration, implementation and deployment issues.