Title: Spatio-Temporal Databases: Flexible Querying and Reasoning / Edition 1, Author: Rita de Caluwe
Title: Data Mining and Knowledge Discovery with Evolutionary Algorithms / Edition 1, Author: Alex A. A. Freitas
Title: Data Analytics and AI / Edition 1, Author: Jay Liebowitz
Title: Fundamentals of Data Mining in Genomics and Proteomics / Edition 1, Author: Werner Dubitzky
Title: Geographic Information Systems to Spatial Data Infrastructures: A Global Perspective / Edition 1, Author: Ian Masser
Title: Tech Mining: Exploiting New Technologies for Competitive Advantage / Edition 1, Author: Alan L. Porter
Title: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning / Edition 1, Author: Te-Ming Huang
Title: Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms / Edition 1, Author: Jean-Marc Adamo
Title: Foundations and Advances in Data Mining / Edition 1, Author: Wesley Chu
Title: Effective CRM using Predictive Analytics / Edition 1, Author: Antonios Chorianopoulos
Title: Introduction to Data Mining / Edition 1, Author: Pang-Ning Tan
Title: Mining Massive Data Sets for Security: Advances in Data Mining, Search, Social Networks and Text Mining and their Applications to Security-Vol. 19 NATO Science for Peace and Security Series D: Information and Communication Security, Author: F. Fogelman-Soulie
Title: Statistical Data Science, Author: Niall M Adams
Title: Data Mining and Applications in Genomics / Edition 1, Author: Sio-Iong Ao
Title: Survey of Text Mining II: Clustering, Classification, and Retrieval / Edition 1, Author: Michael W. Berry
Title: Foundations and Novel Approaches in Data Mining / Edition 1, Author: Tsau Young Lin
Title: Data Mining with Computational Intelligence / Edition 1, Author: Lipo Wang
Title: Modern Data Science with R / Edition 1, Author: Benjamin S. Baumer
Title: Data Mining and Predictive Analytics / Edition 2, Author: Daniel T. Larose
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Title: Business Analytics Principles, Concepts, and Applications with SAS: What, Why, and How / Edition 1, Author: Marc J. Schniederjans

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