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Data Mining for Real-World Applications in Information Systems

Explore cutting-edge data mining techniques from experts in the field, covering databases, machine learning, fraud detection, and more. Learn from recent Ph.D. graduates and industry leaders on customer profiling, recommender systems, and web-scale information extraction.

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Data Mining for Real-World Applications in Information Systems

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  1. Faculty Vasant Dhar Panos Ipeirotis Foster Provost Alex Tuzhulin Ph.D. Students Nikolay Archak Tianyi Jiang Akhmed Umyarov Rhong Zhong NYU/Stern Information SystemsTechnical Group Databases, Data Mining, Machine Learning Recent Ph.D. Graduates Shawndra Hill (Wharton/UPenn, OPIM), Claudia Perlich (IBM Research)

  2. Data Mining from Multiple Sources Data Mining from Graphs Fraud Detection Customer Profiling Recommender Systems Economics-based Text Mining Web-scale Information Extraction Research Interests

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