In the setting of multiparty computation, sets of two or more parties with p- vate inputs wish to jointly compute some (predetermined) function of their inputs.
Shortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win.
This book constitutes the revised selected papers of the 10th International Conference on Information, Communication and Computing Technology, ICICCT 2025, held in New Delhi, India, on May 24, 2025.
This book constitutes the revised selected papers of the 10th International Conference on Information, Communication and Computing Technology, ICICCT 2025, held in New Delhi, India, on May 24, 2025.
This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis.
This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis.
Obwohl es langst zu einem Allgemeinplatz geworden ist, dass der Computer die Wissenschaften revolutioniert hat, ist dieser fur die Entwicklung von Wissenschaft und Technik grundlegende Prozess wissenschaftshistorisch bisher kaum untersucht worden.
Este libro ofrece una visión general sobre los conceptos de Machine Learning y los fundamentos del análisis de datos mediante el lenguaje Python, haciendo uso de herramientas como NumPy, Pandas y Matplotlib.
The 13th volume of ToPNoC contains revised and extended versions of a selection of the best workshop papers presented at the 38th International Conference on Application and Theory of Petri Nets and Concurrency, Petri Nets 2017, and the 17th International Conference on Application of Concurrency to System Design, ACSD 2017.
Obwohl es langst zu einem Allgemeinplatz geworden ist, dass der Computer die Wissenschaften revolutioniert hat, ist dieser fur die Entwicklung von Wissenschaft und Technik grundlegende Prozess wissenschaftshistorisch bisher kaum untersucht worden.
The 13th volume of ToPNoC contains revised and extended versions of a selection of the best workshop papers presented at the 38th International Conference on Application and Theory of Petri Nets and Concurrency, Petri Nets 2017, and the 17th International Conference on Application of Concurrency to System Design, ACSD 2017.
This, the 21st issue of the Transactions on Computational Science journal, edited by Ajith Abraham, is devoted to the topic of nature-inspired computing and applications.
Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using the ranking and joining of results as the dominant factors for service composition.
Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition.
Artificial Intelligence (AI) is a rapidly growing inter-disciplinary field with a long and distinguished history that involves many countries and considerably pre-dates the development of computers.
The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics.
This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, contains 25 high-quality papers, written by leading scientists in the field of conceptual modeling.
The Transactions on Computational Science journal is part of the Springer series Lecture Notes in Computer Science, and is devoted to the gamut of computational science issues, from theoretical aspects to application-dependent studies and the va- dation of emerging technologies.
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes.
The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), held during June 1-6, 2008 in Hong Kong, China, marked an important milestone in advancing the paradigms of the new fields of computational intelligence.
Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions.
This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications.
This book constitutes the proceedings of the Third International Conference on Agricultural-Centric Computation, ICA 2025, held in Guwahati, India, during May 13–16, 2025.
This book constitutes the proceedings of the Third International Conference on Agricultural-Centric Computation, ICA 2025, held in Guwahati, India, during May 13–16, 2025.
This book provides a comprehensive, structured, and accessible resource that covers both foundational aspects and advanced topics of predictive process monitoring (PPM).
This book provides a comprehensive, structured, and accessible resource that covers both foundational aspects and advanced topics of predictive process monitoring (PPM).
Excel Data Analysis for Busy Professionals: A Step-by-Step Guide to Pivot Tables, Dashboards, Power Query, and Real-World Business Reporting (Beginner to Intermediate)Your reports shouldn't break five minutes before the meeting.
This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (MathEL) for STEM disciplines, addressing the limitations of current Information Retrieval methods in handling mathematical expressions.
This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (MathEL) for STEM disciplines, addressing the limitations of current Information Retrieval methods in handling mathematical expressions.
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering.
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering.
Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book constitutes the refereed proceedings of the 22nd International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2026, held in Bedlewo, Poland, during April 7–10, 2026.