Albert Thumann - Energy Project Financing : Resources and Strategies for Success
Joe DiNapoli – The Practical Application of Fibonacci Analysis to Investment Markets
Pristine - Greg Capra - Breadth and Sentiment Market Internals
Randall Holcombe - Quantitative Methods for Business. The A to Z of QM
David A.Strachman – Funds of Funds Investing
STC Series 7 Complete Course
Description
Mark Last – DataMining in Time Series Databases
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 manual examines 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 text 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.
Mark Last, DataMining in Time Series Databases, Download DataMining in Time Series Databases, Free DataMining in Time Series Databases, DataMining in Time Series Databases Torrent, DataMining in Time Series Databases Review, DataMining in Time Series Databases Groupbuy.
Reviews
There are no reviews yet.