Advanced software Technologies for real-world solutions!

THOT®-AFFM THOT®-ATCN
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AFFM ADVANTAGES

RESULTS:
AFFM is an innovative, synergistic technology which combines the benefits of several data mining methods, dramatically extending the ability to extract meaningful information from data. - AFFM is not only unique in its ability to detect rare patterns in data, but does so without requiring historical outcomes. Information may be clustered not just based on correlation between variables, but also due to similarities between patterns associated with the variables. Unlike neural networks which generalize and are prone to over-training, AFFM's fuzzy-pattern matching feature provides the unique capability of identifying novel transactions, particularly useful in areas such as fraud and fault detection.

EXPLAINABILITY:
AFFM overcomes a major drawback of classic "AI" techniques: the ability to translate its results back into real-world terms. - Although neural networks are very effective non-linear estimators, they have been prone to dismissal as valid modeling tools because of their "black box" nature. AFFM overcomes that limitation since its weights can be de-scaled and explained through the automatic creation of knowledge bases, or visualized by comparing the resulting weights between two or more nodes to reveal the variables that are discriminatory.

SPEED:
Unlike most computer-aided pattern discovery algorithms, AFFM requires only a single pass through the training data set! - Genetic algorithms and most neural network paradigms are computationally intensive since they must iterate through training data until the desired level of accuracy is attained. Alternatively, AFFM is a "one pass" method which can be used in real time and near real time systems. Even problems with high numbers of variables train very efficiently with AFFM.

SCALABILITY:
AHC's "Adaptive Temporal Correlation Network" (ATCN) technology extends the concepts in AFFM to a large-scale pattern recognition and auto correlation system. - ATCN is composed of a collection of interconnected AFFM modules. ATCN has use in any situation where real or near real time monitoring of a number of broad-banded data sets is required. AFFM's greatest benefit would be recognized by those with the need for globally understanding information drawn from a confluence of data streams. Various intelligence applications in military and law enforcement venues are one instance.



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