Data Science

Batuhan Kocaoglu
Additional contact information
Batuhan Kocaoglu: Istanbul Topkapi University

Chapter Chapter 8 in Logistics Information Systems, 2024, pp 235-285 from Springer

Abstract: Abstract This chapter is a comprehensive exploration of the transformative power of data in logistics operations. It begins by explaining the relationship between data, information, and knowledge. The chapter delves into the realm of big data and explores machine learning and artificial intelligence, including supervised, unsupervised, reinforcement, and deep learning techniques. Various methodologies and tools in data science are discussed, along with the significance of addressing bias in data. Additionally, the chapter covers Business Intelligence, data warehousing, and Online Analytical Processing (OLAP), as well as data mining and business analytics, encompassing descriptive, diagnostic, predictive, and prescriptive analytics. This chapter equips readers with a deep understanding of how data science empowers logistics operations by transforming data into actionable insights, fostering innovation and efficiency in the logistics domain.

Keywords: Data; Data science; Big data; Machine learning; Artificial intelligence; AI; Deep learning; Bias; Generative AI; Chat GPT; Data warehouse; OLAP; Business analytics; Data mining; Business intelligence (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-60290-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031602900

DOI: 10.1007/978-3-031-60290-0_8

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().