Agnik's Technology
Agnik’s products
are developed based on a strong technical foundation of algorithms
and systems for data analysis and mining in mobile and distributed
environments. Its proprietary technology is developed based on
years of research and development by its founders and technical
team members.
Data Analytics in Mobile Devices:
Mobile devices
such as cell-phones, PDAs, laptops, smart cards, and wearable
computers are increasingly being used for data intensive
applications. In some cases these devices themselves are connected
to different types of sensors that generate lots of data (often
continuous data streams). Sometimes, these devices are used to
remotely monitor data sources over a wireless network. The new
generation of data intensive applications in mobile devices needs
support for data analysis in environments with limited resources
(e.g. memory, processing power, battery power, user interface).
Agnik offers a comprehensive technical solution for data analysis
and mining in mobile environments. Some of our core technical
capabilities include the followings:
1) Fast,
scalable analysis of high volume data stream using light-weight
computing devices.
2) Minimizing expensive communication load in data analysis over
wired and wireless networks.
3) Design and implementation of data analysis techniques that
reduce battery power consumption.
4) Minimizing the ``footprint'' of the system in order to be able
to run it in light-weight devices.
Pattern Preserving Crypto for Data Analysis and Mining
Can you analyze
encrypted data so that certain underlying patterns can be detected
but the data is hidden from the outside world? Agnik’s proprietary
Pattern Preserving Crypto (PPC) technology offers exactly
that. United States Department of Homeland Security is using this
technology for developing the next generation of surveillance
systems that monitor threats against the cyber infrastructure of
the country while preserving the privacy of the monitored data.
This technology
can be used in surveillance systems that require continuous
monitoring of sensitive data, comparing observations, and finding
matches across multiple, proprietary data sources. Library
transactions, employee behavior, healthcare data, financial data,
law enforcement data and mobile communications are just a few of
the data types being monitored today for corporate security,
cyber-threat, and counter-terrorism related tasks. Agnik’s pattern
preserving crypto technology will allow detecting the threats
while protecting the privacy of law-abiding individuals, since raw
surveillance data is often divulged during the process of
monitoring.
Real-time Resource-Constrained Data Analysis in Embedded and
Sensor Systems
New generation
of computing platforms such as embedded devices and sensor
networks are increasingly developing applications that generate
lots of data in ubiquitous environments. Personalization, context
aware applications, and surveillance applications for such
environments require serious analysis of the real-time data
streams. However, the resource-constrained environments in these
devices offer many challenges for real-time analysis of the data.
Agnik has developed proprietary technology for real-time data
management and mining of un/semi and structured data streams.
Agnik’s
MineFleet
product-line designed for onboard data
stream mining in vehicles is bringing the benefits of this
technology to the commercial fleet management industry.
Large Scale Distributed Data Mining:
Agnik is
spearheading the next generation distributed data mining
applications that are designed to run in a network of desktop
computers and high-end devices such as the Internet, grids, and
peer-to-peer systems. Agnik offers complete end-to-end distributed
data mining technology that allows analyzing distributed data,
comparing and aggregating results without having to centralize all
the data to a single central place.
For more information about the work performed in the above areas
by one of the co-founders of Agnik, please follow
http://www.cs.umbc.edu/~hillol