Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)

eBook Information

Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) ISBN  9812382909 Release Date  07 November 2004 Category  Data Mining Tags  mining,   "data mining",   data mining,   machine learning,   "time series",   artificial intelligence,   time,   database,   business intelligence,   collective intelligence,   time series analysis,   9812382909,   text mining,   business modeling and data mining,   machine,   artificial inteligence,   artificial,   "artificial intelligence",   artificial intellegence,   real time control,   artificial intelligent,   "mining",   intelligence,   support vector machine,   artifical intelligence,   This book @Amazon  View Tools Google Search Web flazx.com

Description Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed Other books on Data Mining Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference) Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Principles of Data Mining (Undergraduate Topics in Computer Science) Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence) Research And Trends in Data Mining Technologies And Applications (Advances in Data Warehousing and Mining Series) (Advances in Data Warehousing and Mining ... in Data Warehousing and Mining Series) Quality Measures in Data Mining (Studies in Computational Intelligence) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)