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Dr. Kalnin from Clontech Laboratories reviews TextAnalyst

CLONTECH Laboratories, Inc. is a biotechnology company located in Palo Alto, California. CLONTECH’s mission is to help accelerate the discovery process by pioneering tools that enable researchers to ask new questions and investigate ever more complex systems than was previously possible. CLONTECH was the first to make available several key technologies: GFP-based (green fluorescent protein) reporters; two-hybrid analysis systems for studying protein interactions; and gene array technology for high-throughput differential…
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PolyAnalyst simplifies how to get the time difference between dates

With the release of PolyAnalyst 6.0.570, PolyAnalyst’s Symbolic Rule Language (SRL) now supports a new function: DateDiff. Previously, calculating the difference between dates was burdensome because it required converting two dates into numbers, and then subtracting one from the other. With the new function, calculating the amount of time elapsed between two dates no longer requires the initial conversion. Instead the difference can be calculated directly from the date values themselves.…
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Megaputer nominated for DM Review’s 2006 World Class Solution Award in the category of business intelligence

EDS is an IT services company with 120,000 employees operating in 60 countries. Under new leadership since 2003, the company is pursuing aggressive goals in four areas: account operations, product mix, financial performance, and organizational effectiveness. As a services company, EDS people are the key element of the company. Whereas software, hardware, and systems companies offer value mainly through products, services companies like EDS serve clients through people. The knowledge,…
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Detecting healthcare fraud through data mining: A presentation by Dr. Ananyan

Follow along with Dr. Ananyan on how to use Megaputer’s PolyAnalyst data mining software to analyze insurance claims for evidence of healthcare fraud. Learn how PolyAnalyst’s MediCop™ algorithm can identify different types of fraud such as billing for services not performed, falsifying diagnoses, upcoding, and unbundling. While conventional fraud can be detected by humans, the amount of data is growing, suggesting a need for software that can assist in the…
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