An introduction to IoT analytics (Record no. 4483)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01995nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230113174519.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230113b ||||| |||| 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 |
| Place of publication, distribution, etc. | Boco Raton |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii, 354 p. |
| 365 ## - TRADE PRICE | |
| Price type code | GBP |
| Price amount | 42.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Table of Contents<br/>1. Introduction<br/><br/>2. Review of Probability Theory<br/><br/>3. Simulation Techniques<br/><br/>4. Hypothesis Testing<br/><br/>5. Multivariable Linear Regression<br/><br/>6. Time Series Forecasting<br/><br/>7. Dimensionality Reduction<br/><br/>8. Clustering Techniques<br/><br/>9. Classification Techniques<br/><br/>10. Artificial Neural Networks<br/><br/>11. Support Vector Machines<br/><br/>12. Hidden Markov Models |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.<br/><br/>The techniques presented in An Introduction to IoT Analytics 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 the system under study and then carrying out a what-if analysis. The book also describes simulation techniques. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Operations research |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | System analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | System analysis--Statistical methods |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type | Bill No | Bill Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 01/13/2023 | T V Enterprises | 2829.42 | 004.678 PER | 004201 | 01/13/2023 | 1 | 4303.30 | 01/13/2023 | Book | 575/22-23 | 30-12-2022 |