Managing and Mining Uncertain Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Aggarwal, Charu C. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2009.
• Σειρά: Advances in Database Systems, 35
• Θέματα: Computer science.; Computer security.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Systems and Data Security.; Information Systems Applications (incl. Internet).

Managing and Mining Uncertain Data contains surveys by well known researchers in the field of uncertain databases. The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most import...

Πίνακας περιεχομένων:

• An Introduction to Uncertain Data Algorithms and Applications
• Models for Incomplete and Probabilistic Information
• Relational Models and Algebra for Uncertain Data
• Graphical Models for Uncertain Data
• Trio A System for Data Uncertainty and Lineage
• MayBMS A System for Managing Large Probabilistic Databases
• Uncertainty in Data Integration
• Sketching Aggregates over Probabilistic Streams
• Probabilistic Join Queries in Uncertain Databases
• Indexing Uncertain Data
• Querying Uncertain Spatiotemporal Data
• Probabilistic XML
• On Clustering Algorithms for Uncertain Data
• On Applications of Density Transforms for Uncertain Data Mining
• Frequent Pattern Mining Algorithms with Uncertain Data
• Probabilistic Querying and Mining of Biological Images.