Learning from data streams in evolving environments : methods and applications /: methods and applications. ([2019])

• Record Type: Book
• Further Information: Note: Moamar Sayed-Mouchaweh, editor.
• Editors: Sayed-Mouchaweh, Moamar
• Contents: Chapter1: Transfer Learning in Non-Stationary Environments.- Chapter2: A new combination of diversity techniques in ensemble classifiers for handling complex concept drift.- Chapter3: Analyzing and Clustering Pareto-Optimal Objects in Data Streams.- Chapter4: Error-bounded Approximation of Data Stream: Methods and Theories.- Chapter5: Ensemble Dynamics in Non-stationary Data Stream Classification.- Chapter6: Processing Evolving Social Networks for Change Detection based on Centrality Measures.- Chapter7: Large-scale Learning from Data Streams with Apache SAMOA.- Chapter8: Process Mining for Analyzing Customer Relationship Management Systems A Case Study.- Chapter9: Detecting Smooth Cluster Changes in Evolving Graph Sequences.- Chapter10: Efficient Estimation of Dynamic Density Functions with Applications in Data Streams.- Chapter11: A Survey of Methods of Incremental Support Vector Machine Learning.- Chapter12: On Social Network-based Algorithms for Data Stream Clustering.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 006.3/1; Engineering; Machine learning; Big data; COMPUTERS / General; Big data; Machine learning; Technology & Engineering -- Quality Control; Computers -- Database Management -- Data Mining; Technology & Engineering -- Automation; Reliability engineering; Data mining; Automatic control engineering; Telecommunication; System safety; Data mining; Technology & Engineering -- Telecommunications; Communications engineering / telecommunications; Electronic books
• Languages: English
• ISBNs: 9783319898032; 3319898035
• Related ISBNs: 9783319898025; 3319898027
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 6, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.