It takes the average reader 3 hours and 29 minutes to read Data Mining in Time Series Databases by Abraham Kandel
Assuming a reading speed of 250 words per minute. Learn more
Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.
Data Mining in Time Series Databases by Abraham Kandel is 205 pages long, and a total of 52,275 words.
This makes it 69% the length of the average book. It also has 64% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 45 minutes to read Data Mining in Time Series Databases aloud.
Data Mining in Time Series Databases is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Data Mining in Time Series Databases by Abraham Kandel is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Data Mining in Time Series Databases by Abraham Kandel on Amazon click the button below.
Buy Data Mining in Time Series Databases on Amazon