EAMCET/ECET/ICET CODE: VMEG | College Code : 88

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An Autonomous Institution, Affiliated to JNTUH & Approved by AICTE


Address: Vardhaman College of Engineering Kacharam, Shamshabad, Hyderabad, India
Phone: +91 8688901557
Email: info@vardhaman.org

An Autonomous Institution, Affiliated to JNTUH & Approved by AICTE


Address: Vardhaman College of Engineering Kacharam, Shamshabad, Hyderabad, India
Phone: +91 8688901557
Email: info@vardhaman.org

An Autonomous Institution, Affiliated to JNTUH & Approved by AICTE


Address: Vardhaman College of Engineering Kacharam, Shamshabad, Hyderabad, India
Phone: +91 8688901557
Email: info@vardhaman.org
Knowledge Discovery and Data Mining (KDDM)

Knowledge Discovery and Data Mining (KDDM)

Knowledge Discovery and Data Mining (KDDM)

Knowledge Discovery and Data Mining (KDDM)

Knowledge Discovery and Data Mining (KDDM)

Knowledge Discovery and Data Mining (KDDM) is the non-trivial process of extracting implicit, novel, previously unknown and useful information from a large volume of data. It has emerged as a unique combination of several fields of Science and Technology including Statistics, Database systems, Computer programming, Machine learning, and Artificial Intelligence. KDDM spans a wide range of applications in Engineering (intrusion detection and network security, flow classification, Web mining), business (fraud detection, decision support systems, risk analysis, forecasting market trend), medicine and population health (study of drug implications, disease outbreak), bioinformatics (protein interactions, gene sequence analysis), environmental science (remote sensing, meteorology, climatology, precipitation prediction -rain, hail and snow).

The research projects in the KDDM lab focus on both novel techniques, merging applications of Data mining in Engineering, Science, and Environment. In particular, the focal points of the projects are study and development of (a) an advanced algorithms in stream data mining including bio-inspired algorithms; and (b) emerging applications of data mining in the areas of Engineering (network security, intrusion detection), Environment (precipitation, air pollution, oceanography, acid rains, global warming, forest fires etc.), disaster management (earthquakes, tsunami warning, landslides, hurricanes, flood prevention, thunderstorms etc.) and business analytics.

M.Tech/B.Tech students, who are interested in conducting research in these areas, are encouraged to send their applications to h.venkateswarareddy@vardhaman.org. Please include a copy of your resume summarizing your related education and work experience, and a statement of your research interests.