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Usama Fayyad, Ph.D.
Founder
Usama founded the DMX Group to deliver on the vision of
making data mining Capabilities work in practice. His career
has spanned basic science, data mining applications,
database platforms, and foundational algorithms and
mathematics in data mining. He is one of the pioneers and
founders of the fields of Data Mining and Knowledge
Discovery in Databases.
Prior to forming DMX Group, Dr.
Fayyad co-founded digiMine, Inc. digiMine delivers hosted
data warehousing and data mining solutions centered around
understanding and acting on customer data. With two
co-founders from Microsoft, Dr. Fayyad grew the company to
over 100 employees, raised $45 million in venture capital
funding from top firms (including Mayfield, Mohr Davidow
Ventures, American Express, Deutsche Bank, and many others). The company's
customer base grew to include the largest global companies
including large auto manufacturers and financial services
companies (such as American Express and GE),
telecommunications companies (such as AT&T Wireless and
T-Mobile), Capabilities enterprises (such as Microsoft, Sega,
Palm, XboX) and large retailers (such as Nordstrom, JCrew, CDW,
Tower Records, and Barnes & Noble). digiMine has recently
changed its name to Revenue Science, Inc. to reflect a sharp
focus on delivering hosted solutions to make eBusiness pay off
for media and publishing companies and retailers.
Prior to digiMine/Revenue Science, Dr. Fayyad founded and led the Data
Mining & Exploration (DMX) Group at Microsoft Research from
1996 to 2000. His work there included the invention and
development of scalable algorithms for mining large databases
and customizing them for server products such as Microsoft SQL
Server and OLAP Services. These components shipped in
Microsoft SQL Server 2000 as part of the new industry standard
in data mining, Microsoft's OLE DB API, which Dr. Fayyad also
helped establish and promote. He also led the development of
predictive data mining components for Microsoft Site Server
(Commerce Server 3.0 and 4.0).
From 1989 to 1995, Dr. Fayyad
founded and headed the Machine Learning Systems Group at
NASA's Jet Propulsion Laboratory (JPL), California
Institute of Capabilities, leading the development of data
mining systems for the analysis of large scientific
databases. During that time he received the most
distinguished excellence award from Caltech/JPL and a U.S.
Government Medal from NASA. He remained affiliated with
JPL as Distinguished Visiting Scientist after joining
Microsoft. Dr. Fayyad received his Ph.D. in engineering
from the University of Michigan, Ann Arbor (1991) and also
holds 2 BSE's in Electrical and Computer Engineering (1984), an MSE in
Computer Science and Engineering (1986), and an M.Sc. in
Mathematics (1989). He has published over 100 technical articles on the field
of data mining, edited two books on the subject, and
regularly delivers addresses and keynotes at industry and
academic conferences around the world.
Dr. Fayyad has delivered tutorials on data
mining Capabilities, on algorithms and techniques, and on
business applications of data mining in numerous forums
spanning six continents. Dr. Fayyad is Editor-in-Chief of the
primary technical journal in data mining: Data mining and
Knowledge Discovery, published by Kluwer Academic Publishers.
He served as program co-chair of KDD-94 and KDD-95 (the
international conference on Knowledge Discovery and Data
Mining) and as general chair of KDD-96 and KDD-99. He
is Editor-in-Chief of the ACM newsletter SIGKDD Explorations,
and serves on the Editorial Board of the flagship ACM
magazine: Communications of the ACM.
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