Research, education, problem solving in the area of knowledge discovery from large and heterogeneous data sets or big data, based on a foundation of machine learning, data mining, and information retrieval. Emphasis on clustering and recommendation system algorithms for evolving and multimodal data streams.
Recent funded research tackling:
- collaborative unsupervised learning/clustering algorithms in streaming, mixed and multiple sourced data,
- social media, clickstream and text mining,
- generating explanations to make black box predictions computed by machines understandable by humans.
- modeling and understanding the dynamic interplay between humans and machine learning algorith...
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