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Classification of breast cancer using ensemble machine learning with apache spark
Krotha, Durga Pujitha ; Shaik, Fathimabi ; Lakshmi, G. Jaya
Sigma Journal of Engineering and Natural Sciences. August, 2025, Vol. 43 Issue 4, p1385, 15 p.

Fachzeitschrift
4

Optimizing Spark job scheduling with distributional deep learning in cloud environments
Vishnu Prasad Verma ; Sumit Kumar ; Santosh Kumar ; et al.
Journal of Cloud Computing: Advances, Systems and Applications, Vol 14, Iss 1, Pp 1-19 (2025)

Apache Spark Cloud computing Deep reinforcement learn... Job scheduling Multi-objective optimiza... Rainbow DQN
Fachzeitschrift
5

Optimizing Spark job scheduling with distributional deep learning in cloud environments.
Verma, Vishnu Prasad ; Kumar, Sumit ; Kumar, Santosh ; et al.
Journal of Cloud Computing (2192-113X); 10/27/2025, Vol. 14 Issue 1, p1-19, 19p

SCHEDULING REINFORCEMENT learning RESOURCE allocation ENERGY consumption CLOUD computing DEEP learning
Fachzeitschrift
6

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7

Spark for Python Developers
Nandi, Amit ; Nandi, Amit

Python (Computer program... SPARK (Computer program...
E-Book
8

Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning/ Ivan Marin, Ankit Shukla and Sarang VK.
Marin Ivan. ; Shukla Ankit. ; VK Sarang.
EN05CEBSCO05C1383

Big data Python (Computer program... Cloud computing Machine learning Electronic books
Buch
9

Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning
Ivan Marin ; Ankit Shukla ; Sarang VK ; et al.

Python (Computer program... Big data Machine learning Cloud computing
E-Book
10

Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications.
Tsangaratos, Paraskevas ; Ilia, Ioanna ; Spanoudakis, Nikolaos ; et al.
Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p1871, 20p

MACHINE learning GEOLOGY education GEOLOGICAL surveys DEEP learning FEATURE extraction PYTHON programming langu...
Fachzeitschrift
11

Machine learning guided optimal composition selection of niobium alloys for high temperature applications.
Mohanty, Trupti ; Chandran, K. S. Ravi ; Sparks, Taylor D.
APL Machine Learning; Sep2023, Vol. 1 Issue 3, p1-9, 9p

MACHINE learning NIOBIUM alloys HEAT resistant materials PREDICTION models PYTHON programming langu... ACCURACY
Fachzeitschrift
12

Recent Advances in Social Data and Artificial Intelligence 2019
Srivastava, Hari Mohan ; Srivastava, Gautam ; Mago, Vijay

centrality metric graph visualisation visual analytics data processing social network stock market
E-Book
14

Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine.
Li, Chengcheng ; Gao, Jing ; Pan, Qingwei ; et al.
Computational Intelligence & Neuroscience; 2/6/2023, Vol. 2023, p1-11, 11p

BIG data DATA mining DATA management ARCHITECTURAL design PYTHON programming langu... ELECTRONIC data processi...
Fachzeitschrift
15

Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning
Marin, I. ; Shukla, A. ; Sarang, V.K.

Electronic books EBSCO eBooks Институт естественных и... Кафедра Математическое и...
Buch
16

Large Scale Machine Learning with Python
Bastiaan Sjardin ; Luca Massaron ; Alberto Boschetti ; et al.

Python (Computer program... Machine learning
E-Book
18

IoT and distributed machine learning powered optimal state recommender solution
Sewak, Mohit ; Singh, Sachchidanand
2016 International Conference on Internet of Things and Applications (IOTA) Internet of Things and Applications (IOTA), International Conference on. :101-106 Jan, 2016

Konferenz
19

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20

Analyzing distributed Spark MLlib regression algorithms for accuracy, execution efficiency and scalability using best subset selection approach.
Sewal, Piyush ; Singh, Hari
Multimedia Tools & Applications; May2024, Vol. 83 Issue 15, p44047-44066, 20p

INDIA SUBSET selection FEATURE selection MACHINE learning STANDARD deviations REGRESSION trees
Fachzeitschrift

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