Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms /

Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms /

Bibliografiske detaljer
Hovedforfatter:	Stamile, Claudio (Author)
Andre forfattere:	Marzullo, Aldo, Deusebio, Enrico
Format:	Bog
Sprog:	English
Udgivet:	Birmingham : Packt Publishing, 2021.
Fag:	Machine learning. Graph theory > Data processing. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Graph theory /
af: Xiong, Bin
Udgivet: (2010)

Modern graph theory /
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Udgivet: (1998)

Introduction to graph theory /
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Udgivet: (1996)

Graph theory : modeling, applications, and algorithms /
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Udgivet: (2007)

Introduction to graph theory /
af: West, Douglas Brent
Udgivet: (2001)

Introduction to graph theory /
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Udgivet: (1993)

Graph theory with applications to engineering and computer science.
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Udgivet: (1974)

Graph theory /
af: Bondy, J. A. (John Adrian)
Udgivet: (2008)

Large networks and graph limits /
af: Lovász, László, 1948-
Udgivet: (2012)

Graphs, codes, and designs /
af: Cameron, Peter J. (Peter Jephson), 1947-
Udgivet: (1980)

Graph data mining-based community clustering for gender-biased community detection of social media
af: Dev, Sanjoy, et al.
Udgivet: (2023)

Schaum's outline of theory and problems of graph theory /
af: Balakrishnan, V. K., 1931-
Udgivet: (1997)

Combinatorics and graph theory /
af: Harris, John M. (John Michael), 1969-
Udgivet: (2010)

Gnuplot in action : understanding data with graphs /
af: Janert, Philipp K.
Udgivet: (2010)

Basic Graph Theory /
af: Rahman, Md. Saidur
Udgivet: (2017)

Computational discrete mathematics : combinatorics and graph theory with Mathematica /
af: Pemmaraju, Sriram V., 1966-
Udgivet: (2003)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
af: Boateng, Albert, et al.
Udgivet: (2024)

Detection of fake identities on twitter using supervised machine learning
af: Rahman, MD. Takiur, et al.
Udgivet: (2019)

Machine learning and statistics : the interface /
Udgivet: (1997)

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)

A machine learning approach to detect depression and anxiety using supervised learning
af: Ullas, Md Tahmidur Rahman, et al.
Udgivet: (2019)

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Machine learning engineering /
af: Burkov, Andriy
Udgivet: (2020)

Foundations of machine learning /
af: Mohri, Mehryar, et al.
Udgivet: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)

Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
af: Sakib, Hasibul, et al.
Udgivet: (2024)

Machine learning with quantum computers /
af: Schuld, Maria
Udgivet: (2021)

Application of machine learning techniques on the context of livestock analysis
af: Islam, Md. Shajedul, et al.
Udgivet: (2018)

The hundred-page machine learning /
af: Burkov, Andriy
Udgivet: (2019)

Gene classification and pattern analysis using data mining and machine learning techniques
af: Ramisa, Aiman Jabeen, et al.
Udgivet: (2021)

Approaching (almost) any Machine learning problem /
af: Thakur, Abhishek
Udgivet: (2020)

Alumni opportunities using machine learning
af: Siaum, Arshif Sharlimin, et al.
Udgivet: (2019)

Genetic algorithms in search, optimization, and machine learning /
af: Goldberg, David E. (David Edward), 1953-
Udgivet: (1989)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
af: Ghosh, Kawshik Kumar, et al.
Udgivet: (2023)

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems /
af: Géron, Aurélien
Udgivet: (2017)

Pest detection system using machine learning techniques
af: Prithvi, Protyusha Barua, et al.
Udgivet: (2022)

Pattern recognition and machine learning /
af: Bishop, Christopher M.
Udgivet: (2006)