Data Mining in Time Series and Streaming Databases

The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.

Readership: Researchers, academics, professionals and graduate students in artificial intelligence, machine learning, databases, and information science.