Treffer 161 - 180 von 642

161

Data science for pattern recognition in agricultural large time series data: A case study on sugarcane sucrose yield
Bautista-Romero, Laura Valentina ; Sánchez-Murcia, Juan David ; Ramírez-Gil, Joaquín Guillermo
In Heliyon 28 February 2025 11(4)

Fachzeitschrift
162

Stroke Analysis and Prediction Using PySpark, Suport Vector Machine and Random Forest Regression
Aid Semic ; Sulejman Karamehic
International Journal of Data Science. 3:62-70

Fachzeitschrift
163

Cloud Spark Cluster to Analyse English Prescription Big Data for NHS Intelligence
Fernando, Sandra ; Mydlarz, Victor Sowinski ; Katanani, Asya ; et al.
Proceedings of Data Analytics and Management : ICDAM 2023, Volume 1. 785:361-375

E-Book
164

Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task
Tufani, Rojer ; Sen, Snigdha ; Chakraborty, Pavan ; et al.
Advances in Health Informatics, Intelligent Systems, and Networking Technologies : Proceedings of HINT 2024. 1286:251-262

E-Book
165

Prediction of Cardiovascular Disease Using PySpark Techniques
Ms. Dayana ; K Keerthika ; E Bibilin Manuela ; et al.
International Journal for Research in Applied Science and Engineering Technology. 10:1228-1233

3. Good health
Fachzeitschrift
166

Klasifikasi Penyalahgunaan Pesan singkat Menggunakan Algoritma Naïve Bayes
Elva Amalia
Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi; Vol 8 No 1 (2023): Techno Xplore: Jurnal Ilmu Komputer dan Teknologi Informasi; 01-07 ; 2580-9288 ; 2503-054X ; 10.36805/technoxplore.v8i1

Klasifikasi Naive Bayes Penyalahgunaan Pesan Sin... Machine Learning PySpark
Fachzeitschrift
167

Estimating total organic carbon of potential source rocks in the Espírito Santo Basin, SE Brazil, using XGBoost
Bione, Fellippe R.A. ; Venancio, Igor M. ; Santos, Thiago P. ; et al.
In Marine and Petroleum Geology April 2024 162

Fachzeitschrift
168

Performance Evaluation of Data-driven Intelligent Algorithms for Big data Ecosystem
Junaid, Muhammad ; Ali, Sajid ; Siddiqui, Isma Farah ; et al.
Wireless Personal Communications: An International Journal. 126(3):2403-2423

Fachzeitschrift
169

Data mining, cleaning, feature extraction, and machine learning approaches for big data in electronic health records : liver cancer risk factor analysis and model explainability
Kouremenou, Eleftheria Georgia ; Κουρεμένου, Ελευθερία Γεωργία ; Kyriazis, Dimosthenis ; et al.

Explainability PySpark Liver cancer Apache Spark Parallel processing Machine learning
Dissertation
170

Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks
Verma, Anil ; Routhu, Lalit Chandra ; Chigrupaatii, Rishikant ; et al.
2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :4438-4447 Dec, 2024

Konferenz
171

Utility Functions and Visualizations
Kakarla, Ramcharan ; Krishnan, Sundar ; Dhamodharan, Balaji ; et al.
Applied Data Science Using PySpark : Learn the End-to-End Predictive Model-Building Cycle. :67-98

E-Book
173

Supervised Learning Algorithms
Kakarla, Ramcharan ; Krishnan, Sundar ; Dhamodharan, Balaji ; et al.
Applied Data Science Using PySpark : Learn the End-to-End Predictive Model-Building Cycle. :153-217

E-Book
174

Big Data Analysis for an Optimised Classification for Flight Status Flight status : Prediction Analysis Using Machine Learning Machine learning (ML) Classifiers
Pourroostaei Ardakani, Saeid ; Cheshmehzangi, Ali ; Cheshmehzangi, Ali, Editor-in-Chief ; et al.
Big Data Analytics for Smart Transport and Healthcare Systems. :29-43

E-Book
175

Exploration of Python and Scala in Databricks Advantages and Challenges
Hari Prasad Bomma

data bricks python scala spark Machine learning pyspark
Fachzeitschrift
176

Scalable Higher Resolution Polar Sea Ice Classification and Freeboard Calculation from ICESat-2 ATL03 Data
Iqrah, Jurdana Masuma ; Koo, Younghyun ; Wang, Wei ; et al.
2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) IPDPSW Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025 IEEE International. :413-422 Jun, 2025

Konferenz
177

Building a Recommendation System for E-Commerce Using Machine Learning and Big Data Technologies
Fatić, Naida ; Krupić, Mirza ; Jukić, Samed ; et al.
Advanced Technologies, Systems, and Applications VIII : Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT 2023). 644:376-387

E-Book
179

An Analytical Comparison of Statistical and Machine Learning Approaches for Time Series Data Analysis
Kumar, Shashi Shekhar ; Tufani, Rojer ; Chandra, Ritesh
2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Cloud Computing, Data Science & Engineering (Confluence), 2024 14th International Conference on. :575-580 Jan, 2024

Konferenz
180

Spark-Based Sentiment Analysis of Tweets Using Machine Learning Algorithms
Chandrashekar, D. K. ; Srikantaiah, K. C. ; Venugopal, K. R. ; et al.
Information and Communication Technology for Competitive Strategies (ICTCS 2020) : Intelligent Strategies for ICT. 190:667-675

E-Book

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