Artificial intelligence in forecasting: tools and techniques
Can you forecast the future value by considering historical data? Accurate forecasting requires more than just plugging in historical data into models. Readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it is accomplished.
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2024
|
| Online-Zugang: | DE-188 |
| Zusammenfassung: | Can you forecast the future value by considering historical data? Accurate forecasting requires more than just plugging in historical data into models. Readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it is accomplished. Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Pursuits of Forecasting: Revisiting the Claims of Artificial Intelligence -- 2. A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting -- 3. Forecasting the Stock Market Index Using Artificial Intelligence Techniques -- 4. Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry -- 5. The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods -- 6. Workforce Forecasting after COVID-19 Pandemics Using Artificial Intelligence -- 7. Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias -- 8. Customer Perspective through Artificial Intelligence: Forecasting Green Products' Sustainable Development -- 9. Weather Forecasting and Climate Behavioural Analysis Using Artificial Intelligence -- 10. Assessing Climate Change through Artificial Intelligence: An Ethico-Legal Study -- 11. Workforce Forecasting Using Artificial Intelligence -- 12. Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends -- 13. A Comparative Analysis of Traditional and Machine Learning Forecasting Techniques -- 14. Forecasting Demand for Paddy and Cotton in India: Empirical Analysis Using Machine Learning Models -- 15. Business Forecasting and Error Handling Using AI -- 16. Practical Benefits of Using AI for More Accurate Forecasting in Mental Health -- 17. Predicting Stock Market Indexes with Artificial Intelligence -- 18. The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis -- 19. Effective Temperature Prediction for An Enhanced Climate Forecast System -- 20. Demand Forecasting Methods: Using Machine Learning to Predict Future Sales. |
| Beschreibung: | 1 Online-Ressource (VIII, 356 Seiten) |
| ISBN: | 9781040051504 9781003399292 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049811356 | ||
| 003 | DE-604 | ||
| 005 | 20240906 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240807s2024 |||| o||u| ||||||eng d | ||
| 020 | |a 9781040051504 |c online |9 978-1-04-005150-4 | ||
| 020 | |a 9781003399292 |c online |9 978-1-003-39929-2 | ||
| 035 | |a (OCoLC)1456132029 | ||
| 035 | |a (DE-599)KEP102378088 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-188 | ||
| 082 | 0 | |a 003/.2028563 | |
| 245 | 1 | 0 | |a Artificial intelligence in forecasting |b tools and techniques |c editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2024 | |
| 300 | |a 1 Online-Ressource (VIII, 356 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | 3 | |a Can you forecast the future value by considering historical data? Accurate forecasting requires more than just plugging in historical data into models. Readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it is accomplished. | |
| 520 | 3 | |a Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Pursuits of Forecasting: Revisiting the Claims of Artificial Intelligence -- 2. A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting -- 3. Forecasting the Stock Market Index Using Artificial Intelligence Techniques -- 4. Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry -- 5. The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods -- 6. Workforce Forecasting after COVID-19 Pandemics Using Artificial Intelligence -- 7. Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias -- 8. Customer Perspective through Artificial Intelligence: Forecasting Green Products' Sustainable Development -- 9. Weather Forecasting and Climate Behavioural Analysis Using Artificial Intelligence -- 10. Assessing Climate Change through Artificial Intelligence: An Ethico-Legal Study -- 11. Workforce Forecasting Using Artificial Intelligence -- 12. Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends -- 13. A Comparative Analysis of Traditional and Machine Learning Forecasting Techniques -- 14. Forecasting Demand for Paddy and Cotton in India: Empirical Analysis Using Machine Learning Models -- 15. Business Forecasting and Error Handling Using AI -- 16. Practical Benefits of Using AI for More Accurate Forecasting in Mental Health -- 17. Predicting Stock Market Indexes with Artificial Intelligence -- 18. The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis -- 19. Effective Temperature Prediction for An Enhanced Climate Forecast System -- 20. Demand Forecasting Methods: Using Machine Learning to Predict Future Sales. | |
| 700 | 1 | |a Mohanty, Sachi Nandan |d 1981- |0 (DE-588)116301849X |4 edt | |
| 700 | 1 | |a Nanjundan, Preethi |4 edt | |
| 700 | 1 | |a Kar, Tejaswini |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-1-03-250615-9 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 978-1-032-50618-0 |
| 912 | |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035151729 | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/fuberlin-ebooks/detail.action?docID=31060750 |l DE-188 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1812973931774083072 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Mohanty, Sachi Nandan 1981- Nanjundan, Preethi Kar, Tejaswini |
| author2_role | edt edt edt |
| author2_variant | s n m sn snm p n pn t k tk |
| author_GND | (DE-588)116301849X |
| author_facet | Mohanty, Sachi Nandan 1981- Nanjundan, Preethi Kar, Tejaswini |
| building | Verbundindex |
| bvnumber | BV049811356 |
| collection | ZDB-30-PQE |
| ctrlnum | (OCoLC)1456132029 (DE-599)KEP102378088 |
| dewey-full | 003/.2028563 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003/.2028563 |
| dewey-search | 003/.2028563 |
| dewey-sort | 13 72028563 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000 c 4500</leader><controlfield tag="001">BV049811356</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240906</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240807s2024 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781040051504</subfield><subfield code="c">online</subfield><subfield code="9">978-1-04-005150-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781003399292</subfield><subfield code="c">online</subfield><subfield code="9">978-1-003-39929-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1456132029</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP102378088</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-188</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003/.2028563</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence in forecasting</subfield><subfield code="b">tools and techniques</subfield><subfield code="c">editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (VIII, 356 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Can you forecast the future value by considering historical data? Accurate forecasting requires more than just plugging in historical data into models. Readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it is accomplished.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Pursuits of Forecasting: Revisiting the Claims of Artificial Intelligence -- 2. A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting -- 3. Forecasting the Stock Market Index Using Artificial Intelligence Techniques -- 4. Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry -- 5. The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods -- 6. Workforce Forecasting after COVID-19 Pandemics Using Artificial Intelligence -- 7. Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias -- 8. Customer Perspective through Artificial Intelligence: Forecasting Green Products' Sustainable Development -- 9. Weather Forecasting and Climate Behavioural Analysis Using Artificial Intelligence -- 10. Assessing Climate Change through Artificial Intelligence: An Ethico-Legal Study -- 11. Workforce Forecasting Using Artificial Intelligence -- 12. Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends -- 13. A Comparative Analysis of Traditional and Machine Learning Forecasting Techniques -- 14. Forecasting Demand for Paddy and Cotton in India: Empirical Analysis Using Machine Learning Models -- 15. Business Forecasting and Error Handling Using AI -- 16. Practical Benefits of Using AI for More Accurate Forecasting in Mental Health -- 17. Predicting Stock Market Indexes with Artificial Intelligence -- 18. The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis -- 19. Effective Temperature Prediction for An Enhanced Climate Forecast System -- 20. Demand Forecasting Methods: Using Machine Learning to Predict Future Sales.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mohanty, Sachi Nandan</subfield><subfield code="d">1981-</subfield><subfield code="0">(DE-588)116301849X</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nanjundan, Preethi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kar, Tejaswini</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-1-03-250615-9</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">978-1-032-50618-0</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035151729</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fuberlin-ebooks/detail.action?docID=31060750</subfield><subfield code="l">DE-188</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049811356 |
| illustrated | Not Illustrated |
| indexdate | 2024-10-15T10:04:34Z |
| institution | BVB |
| isbn | 9781040051504 9781003399292 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035151729 |
| oclc_num | 1456132029 |
| open_access_boolean | |
| owner | DE-188 |
| owner_facet | DE-188 |
| physical | 1 Online-Ressource (VIII, 356 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India Boca Raton ; London ; New York CRC Press 2024 1 Online-Ressource (VIII, 356 Seiten) txt rdacontent c rdamedia cr rdacarrier Can you forecast the future value by considering historical data? Accurate forecasting requires more than just plugging in historical data into models. Readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it is accomplished. Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Pursuits of Forecasting: Revisiting the Claims of Artificial Intelligence -- 2. A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting -- 3. Forecasting the Stock Market Index Using Artificial Intelligence Techniques -- 4. Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry -- 5. The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods -- 6. Workforce Forecasting after COVID-19 Pandemics Using Artificial Intelligence -- 7. Gender Disparity in Artificial Intelligence: Creating Awareness of Unconscious Bias -- 8. Customer Perspective through Artificial Intelligence: Forecasting Green Products' Sustainable Development -- 9. Weather Forecasting and Climate Behavioural Analysis Using Artificial Intelligence -- 10. Assessing Climate Change through Artificial Intelligence: An Ethico-Legal Study -- 11. Workforce Forecasting Using Artificial Intelligence -- 12. Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends -- 13. A Comparative Analysis of Traditional and Machine Learning Forecasting Techniques -- 14. Forecasting Demand for Paddy and Cotton in India: Empirical Analysis Using Machine Learning Models -- 15. Business Forecasting and Error Handling Using AI -- 16. Practical Benefits of Using AI for More Accurate Forecasting in Mental Health -- 17. Predicting Stock Market Indexes with Artificial Intelligence -- 18. The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis -- 19. Effective Temperature Prediction for An Enhanced Climate Forecast System -- 20. Demand Forecasting Methods: Using Machine Learning to Predict Future Sales. Mohanty, Sachi Nandan 1981- (DE-588)116301849X edt Nanjundan, Preethi edt Kar, Tejaswini edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-03-250615-9 Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-50618-0 |
| spellingShingle | Artificial intelligence in forecasting tools and techniques |
| title | Artificial intelligence in forecasting tools and techniques |
| title_auth | Artificial intelligence in forecasting tools and techniques |
| title_exact_search | Artificial intelligence in forecasting tools and techniques |
| title_full | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
| title_fullStr | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
| title_full_unstemmed | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
| title_short | Artificial intelligence in forecasting |
| title_sort | artificial intelligence in forecasting tools and techniques |
| title_sub | tools and techniques |
| work_keys_str_mv | AT mohantysachinandan artificialintelligenceinforecastingtoolsandtechniques AT nanjundanpreethi artificialintelligenceinforecastingtoolsandtechniques AT kartejaswini artificialintelligenceinforecastingtoolsandtechniques |