Computational Antitrust (Запис № 579911)

МАРК-запис
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001 - CONTROL NUMBER
control field 978-981-95-5037-1
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260304124631.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819550371
-- 978-981-95-5037-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-95-5037-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HM846-851
072 #7 - SUBJECT CATEGORY CODE
Subject category code JF
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Subject category code SOC000000
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Subject category code JB
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 303.483
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Wei.
Relator term author.
Relator code aut
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9 (RLIN) 23913
245 10 - TITLE STATEMENT
Title Computational Antitrust
Medium [electronic resource] /
Statement of responsibility, etc by Wei Liu.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2026.
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2026.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 151 p. 19 illus., 14 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Artificial Intelligence and the Rule of Law,
Міжнародний стандартний серійний номер для назви серії (ISSN) 2731-6246
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: The Global History and Development of Antitrust -- Chapter 2: Antitrust in the Digital Economy Era -- Chapter 3: Artificial Intelligence and Computational Antitrust -- Chapter 4: Identifying Price Discrimination in the Digital Economy -- Chapter 5: Risk Assessment and Early Warning System for Monopolistic Behaviors.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc This is an Open access book which provides a comprehensive framework for identifying monopolistic behaviors in the digital economy, with a focus on discriminatory pricing as one manifestation of these practices. As digital platforms increasingly dominate markets and collect unprecedented volumes of user data, pricing strategies tailored to user profiles—often resulting in discriminatory pricing—raise major concerns about consumer rights, market fairness, and competition. Differential pricing driven by big data is widespread in sectors like e-commerce, travel, and ride-hailing; however, when adopted by dominant enterprises, it risks evolving into monopolistic practices that challenge existing legal frameworks and consumer protections. On the algorithmic level, this book tackles these challenges by developing an innovative, machine-learning-based approach for real-time detection of discriminatory pricing and related monopolistic behaviors. Recognizing that traditional regulatory oversight heavily relies on consumer complaints and is often retrospective, we propose an advanced Dual Pricing Model Clustering (DPMC) framework, which proactively distinguishes between discriminatory and non-discriminatory pricing using real-world data patterns. Initially, the book focuses on the online ride-hailing industry, where dynamic pricing is common and has attracted widespread public attention. It offers practical insights and a robust, transferable framework applicable to other sectors facing similar issues. From the perspective of antitrust business needs, we have also developed an intelligent antitrust system. Beyond its statistical analysis capabilities, the book explores the application of large models in the antitrust field, proposing a "Computational Antitrust Large Model." This model integrates large language models with monopolistic behavior identification models, combining insights from public sentiment and other intelligence sources to assist regulators in proactively detecting monopolistic behavior clues. The book is designed for professionals and scholars in antitrust regulation, digital economy governance, and data science, aiming to equip them with the knowledge and tools needed to address monopolistic and discriminatory practices in the platform economy.
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650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology
General subdivision Sociological aspects.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information technology
General subdivision Law and legislation.
9 (RLIN) 479
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mass media
General subdivision Law and legislation.
9 (RLIN) 480
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Law and economics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Science, Technology and Society.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element IT Law, Media Law, Intellectual Property.
9 (RLIN) 488
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Law and Economics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819550364
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819550388
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789819550395
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Artificial Intelligence and the Rule of Law,
-- 2731-6246
9 (RLIN) 23914
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-95-5037-1">https://doi.org/10.1007/978-981-95-5037-1</a>
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