Data miningMore by Charu C. Aggarwal
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing large amounts of data, and with far fewer assumptions– the data can be of any type, structured or unstructured, and may be extremely large. <i>Outlier Analysis</i> is a comprehensive exposition, as understood by data mining experts,…
Be the first to tag this
| Format | Publisher | Year | ISBN |
|---|---|---|---|
| Paperback | Springer | 2018 | 9783319837727 |
| Hardcover | Springer | 2017 | 9783319475776 |
| Paperback | Springer | 2013 | 9781461463979 |
| Hardcover | Springer | 2013 | 9781461463955 |
| Ebook | Springer New York | 2013 | 9781461463962 |
Data miningMore by Charu C. Aggarwal
Healthcare data analyticsMore by Chandan K. Reddy, Charu C. Aggarwal
Neural Networks and Deep LearningMore by Charu C. Aggarwal
Data ClusteringMore by Charu C. Aggarwal, Chandan K. Reddy
Designing Data-Intensive ApplicationsAlso tagged Database management
Mathematical Statistics with ApplicationsAlso tagged Mathematical statistics
Natural language processing and information retrievalAlso tagged Information retrieval
Database system conceptsAlso tagged Database management
Data mining
Healthcare data analytics
Neural Networks and Deep Learning
Data Clustering
Machine Learning for Text
Mining Text Data
Linear Algebra and Optimization for Machine Learning
Recommender Systems
Artificial Intelligence