| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
241114b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780367686314 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.678 |
| Item number |
PER |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Perros, Harry G. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
An introduction to IoT analytics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
2021 |
| Place of publication, distribution, etc |
Boca Raton : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
354 p. ; |
| Other physical details |
ill., |
| Dimensions |
26 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
3362.00 |
| Price type code |
₹ |
| Unit of pricing |
01 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC data science series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
An Introduction to IoT Analytics covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings. It is an introductory book for readers that have no familiarity with these techniques. The techniques presented in the book come from the areas of Machine Learning, Statistics, and Operations Research. Machine Learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data, and dimensionality reduction of data sets. Operations Research is concerned with the performance of an IoT system by constructing a model of a system under study, and then carry out what-if analysis. The book also describes simulation techniques. Key features: IoT analytics is not just Machine Learning but it also involves other tools, such as, forecasting and simulation techniques. Many diagrams and examples are given throughout the book to better explain the material presented. At the end of each chapter, there is a project designed to help the reader to better understand the techniques described in the chapter. The material is this book has been class tested over several semesters |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Business and Economics Statistics |
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| Topical term or geographic name as entry element |
Internet of things |
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| Topical term or geographic name as entry element |
Confidence interval |
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| Topical term or geographic name as entry element |
Data points |
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| Topical term or geographic name as entry element |
Decision tree |
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| Topical term or geographic name as entry element |
Exponential distribution |
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| Topical term or geographic name as entry element |
Hyperplane |
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| Topical term or geographic name as entry element |
Independent variables |
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| Topical term or geographic name as entry element |
Linear regression |
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| Topical term or geographic name as entry element |
Naive Bayes classifier |
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| Topical term or geographic name as entry element |
Normal distribution |
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| Topical term or geographic name as entry element |
Null hypothesis |
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| Topical term or geographic name as entry element |
Overfitting |
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| Topical term or geographic name as entry element |
P-value |
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| Topical term or geographic name as entry element |
Prediction interval |
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| Topical term or geographic name as entry element |
Support vector machines |
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| Topical term or geographic name as entry element |
Q-Q plot |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |