Advanced Studies in Classification and Data Science

Advanced Studies In Classification And D

📁 Advanced Studies In Classification And Data Science

✍ Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yam 📂 Library 📅 2020 🏛 Springer 🌐 English

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction,

Classification and Data Science in the D

📁 Classification and Data Science in the Digital Age (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Paula Brito (editor), José G. Dias (editor), Berthold Lausen (editor), Angela Mo 📂 Library 📅 2023 🏛 Springer 🌐 English

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from

Advances in Classification and Data Anal

📁 Advances in Classification and Data Analysis

✍ D. Bruzzese, A. Irpino (auth.), Dr. Simone Borra, Professor Roberto Rocci, Profe 📂 Library 📅 2001 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers pr

Statistical Models and Methods for Data

📁 Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Leonardo Grilli (editor), Monia Lupparelli (editor), Carla Rampichini (editor), 📂 Library 📅 2023 🏛 Springer 🌐 English

This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data a

Advances in Data and Information Science

📁 Advances in Data and Information Sciences

✍ Mohan L. Kolhe, Munesh C. Trivedi, Shailesh Tiwari, Vikash Kumar Singh 📂 Library 📅 2018 🏛 Springer Singapore 🌐 English

The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational s

Advances in Data and Information Science

📁 Advances in Data and Information Sciences

✍ Mohan L. Kolhe, Munesh C. Trivedi, Shailesh Tiwari, Vikash Kumar Singh 📂 Library 📅 2019 🏛 Springer Singapore 🌐 English

The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational s