RE: BISC_SIG_ES, Intelligent and Super-Fast Data Fusion and Mining

masoud nikravesh (
Tue, 17 Jun 1997 15:25:03 +0200

Dear Biscers;

Now the follwoing subjects are open to discussion.

Intelligent and Super-Fast Data Fusion and Mining:
Integrated Soft Computing and Parallel Processing Techniques

BISC_SIG_ES is accepting Abstract (Max. 1 Page), Extended Abstract (Max. 2
Pages) and Short Paper (Max. 5 Pages).
Also, If you would like to be considerd as part of our multi-objectives
proposal and project, please send an extra page (Max. 2 pages) describing
type of contribution to BISC_SIG_ES Intelligent and Super-Fast Data Fusion and
Mining Project.

Your comments and suggestions are appreciated. Please feel free to contact

Please use " BISC_SIG_ES Intelligent" as the subject of the mail, and include
following information in the body if possible:

Field of Interest:
Mailing address:
Preferred E-mail address:
Http address:

There is a homepage which you could find out more information about the BISC. , , ,

Masoud Nikravesh, Ph.D.
Chairman, BISC Special Interest Group In Earth Sciences
BISC is an acronym for the Berkeley Initiative in Soft Computing.

Earth Sciences Division, MS 90-1116, Lawrence Berkeley National Laboratory
and Electrical Engineering and Computer Science Department, BISC Program, Soda
University of California at Berkeley
Berkeley, CA 94720


Tel: (510) 486-7728
Fax: (510) 486-5686
Fax: (510) 642-3805

Intelligent and Super-Fast Data Fusion and Mining:
Integrated Soft Computing and Parallel Processing Techniques
…. of JPL-NASA and CalTech,
BISC Program of UC Berkeley and BISC_SIG_ES Program of LBNL and UC Berkeley

In the past, classical data processing tools solved many real-world complex
problems. However, this should not obscure the fact that the world of
information processing is changing rapidly.
Increasingly, we are faced in one side with more unpredictable and complex
real-world, imprecise, chaos, multi-dimensional and multi-domain problems with
many interacting parameters in situations where small variability in
parameters can change the solution completely and in the other side we are
faced with profusion and complexity of computer-generated data. For example,
in a data-extensive environment such as NASA, it is estimated that amount of
data acquired data may double every 2-5 years.. Unfortunately, making sense
of these complex, imprecise and chaos data is beyond the limited human ability
and understanding. What this implies is that the classical data processing
tools that have addressed many complex problems in the past, may not be
sufficient to deal effectively with present and the future needs.

In this proposal, our objective is to develop an " Intelligent", "Robust" and
"Fast" software tool that will extract knowledge from the huge, imprecise,
unpredictable, real-world complex databases that overloaded the NASA archives.

The software will go beyond the standard techniques and silicon hardware.
Our software will use several emerging methodologies and soft computing
techniques: Expert Systems, Artificial Intelligent, Neural Network, Fuzzy
Logic, Genetic algorithm, DNA Coding, Probabilistic Reasoning, Parallel
Processing, and Quantum Computation. Soft computing differs from conventional
(hard) computing in that, unlike hard computing, it is tolerant of
imprecision, uncertainty, partial truth, and it’s tractability, robustness and
low solution cost.
Our Intelligent software will be based on 1) Fuzzy Logic for its linguistic
nature, its tolerance for imprecision and uncertainty in data, and low
solution cost, 2) Neural Network because it is a fundamentally parallel
technique, to capture the presence of fuzzy rules, and it does not require
specification of structural relationship between input-output data for
multi-dimensional, multi-domain, and complex data sets, 3)Genetic Algorithm
for extraction of patterns, structure of the data, its robustness, and reduce
the complexity of the Neuro-Fuzzy Structure, and 4) Quantum Computation as a
Parallel Processing technique for integration into the Neuro-Fuzzy-Genetic
model for fast processing of the data in super-fast and parallel processor
machine, …… ……

Identification and Significance of the Technology

(1) Use state-of-the-art methodology for Efficient and Super-Fast Data Fusion
and Mining of massive data-sets and Extract Knowledge and Built Model from
data-intensive knowledge domains that will revolutionize the future of NASA
database management.

(2) To integrate Soft Computing Techniques such as artificial intelligence,
neural networks, fuzzy logic, and genetic algorithms and Parallel Processing
Techniques such as Quantum Computation for Super-Fast processing, fusing,
mining, recovering the dominant information and structural relationships from
the imprecise and uncertain data, and managing of NASA’s databases.

(3) To implement an on line, robust, and super-Fast expert consultant to
respond and act upon the results of information retrieval process in real time

No commercial data management system address these issues. These innovations
will dramatically increase the productivity of organizations involved in data
management, data mining, data fusion, data-based model identification, and
structure and pattern extraction from huge databases. The results, our
Integrated and Intelligent Soft Computing and Parallel Processing Techniques
will prove to be a significant technological breakthrough with enourmous
commercial value.

Potential Application(s): Engineering Scientific and commercial entities
which require extensive data processing, managing, fusion and mining along
with organizations with huge database repositories needing to rapidly locate,
view and extract information and kwonledge are potential clients. This
includes NASA’s space science, mission to planet earth, ….. and other
government agencies, transportation industry, banking, insurance and other
financial organizations, law firms, medical and pharmaceutical industry,
architectural construction firms, agribusiness and environmental protection
outfits, telecommunication and media firms, educational entities, etc.

CopyRight (c), BISC_SIG_ES, 1997