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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Datenkommunikation & Netzwerke Mathematical Problems in Data Science
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Mathematical Problems in Data Science
Li M. Chen, Zhixun Su, Bo Jiang (Gebundene Ausgabe, Englisch)
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Beschreibung
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book… includes possible solutions and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets and partial-connectedness among data points or data sets. Discussions also cover the completion problem of Netflix matrix; machine learning method on massive data sets; image segmentation and video search. This book introduces software tools for data science and Big Data such MapReduce, Hadoop, and Spark. This book contains three parts. The first part explores the fundamental tools of data science. It includes basic graph theoretical methods, statistical and AI methods for massive data sets. In second part, chapters focus on the procedural treatment of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical methods. The final section provides case studies on special topics in variational learning, manifold learning, business and financial data rec overy, geometric search, and computing models. Mathematical Problems in Data Science is a valuable resource for researchers and professionals working in data science, information systems and networks. Advanced-level students studying computer science, electrical engineering and mathematics will also find the content helpful. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
22.12.2015
Sprache
Englisch
EAN
9783319251257
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Li M. Chen, Zhixun Su, Bo Jiang
Seitenanzahl
213
Auflage
1
Einbandart
Gebundene Ausgabe
Buch Untertitel
Theoretical and Practical Methods
Schlagwörter
Data science, Big data, Cloud data computing, Data modeling, Data relations, Data connectivity, Geometric data structures, Massive data recovery, Incomplete data set, Partial connectivity, Google page rank, Cloud Data Computing, Topological Data Processing
Thema-Inhalt
UKN - Netzwerk-Hardware
UYAM - Mathematik für Informatiker
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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