Identification of fake news using machine learning in distributed system

Identification of fake news using machine learning in distributed system

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliographische Detailangaben
Hauptverfasser:	Saif, Mehruz, Kanon, MD. Kamal Haque, Hasan, Nazmul, Hossen, MD. Shamim, Anannya, Fatema Zohra
Weitere Verfasser:	Akhond, Mostafijur Rahman
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	PySpark ML RDD(Resilient Distributed Dataset) Random Forest Factorization Machine Classifier Linear SVC Logistic Regression Machine Learning
Online Zugang:	http://hdl.handle.net/10361/15199

Ähnliche Einträge

Detecting fake news on Covid-19 using machine learning algorithms
von: Hossain, Farhan, et al.
Veröffentlicht: (2023)

FakeDetect: Bangla fake news detection model based on different machine learning classifiers
von: Sraboni, Tasnuba, et al.
Veröffentlicht: (2021)

Flood prediction using machine learning models
von: Syeed, Miah Mohammad Asif, et al.
Veröffentlicht: (2022)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
von: Alam, Auninda, et al.
Veröffentlicht: (2021)

Detecting online recruitment fraud by using machine learning
von: Ghosh, Gitanjali, et al.
Veröffentlicht: (2021)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
von: Hasan, Anita, et al.
Veröffentlicht: (2022)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
von: Shawan, Naveed Rahman, et al.
Veröffentlicht: (2019)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
von: Mahmud, Mahmudul Hasan
Veröffentlicht: (2021)

Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
von: Abdullah, et al.
Veröffentlicht: (2021)

Parking data analysis
von: Ahamed, Kasfi, et al.
Veröffentlicht: (2023)

A machine learning based approach for DDos attack detection
von: Tahrim, Tasmiah, et al.
Veröffentlicht: (2024)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
von: Sarkar, Ripa, et al.
Veröffentlicht: (2024)

A comparative performance analysis of accident anticipation with deep learning extractors
von: Mostak, Alfi Mashab, et al.
Veröffentlicht: (2023)

A machine learning approach to detect DeepFake videos
von: Hassan, Md. Mahedi, et al.
Veröffentlicht: (2021)

Effectiveness of data mining in predicting heart diseases
von: Afrin, Shahria, et al.
Veröffentlicht: (2018)

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

Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
von: Bhowmik, Prashanta, et al.
Veröffentlicht: (2024)

Machine learning In breast cancer prognosis and prediction
von: Chowdhury, Shah Abul Hasnat, et al.
Veröffentlicht: (2023)

COVID-19 related fake news detection model
von: Shondhy, Sumaiya Islam, et al.
Veröffentlicht: (2021)

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

RetinalNet-500: a newly developed CNN model for eye disease detection
von: Toki, Sadikul Alim, et al.
Veröffentlicht: (2023)

Mobile sensors based human activity recognition using machine learning with explainable ML
von: Rahman, Raihan, et al.
Veröffentlicht: (2021)

Heart disease prediction system
von: Amit, Tayab Al Azad, et al.
Veröffentlicht: (2022)

Fake profile detection in social media using image processing and machine learning
von: Sen, Shuva, et al.
Veröffentlicht: (2021)

Botnet detection In IoT devices using machine learning
von: Rouf, Shakir, et al.
Veröffentlicht: (2020)

ML based career suggestive system for informal job sector considering cognitive skills
von: Tonny, Ms. Ayesha Siddika, et al.
Veröffentlicht: (2023)

Explainable artificial intelligence and model calibration for water quality prediction
von: Hellen, Nakayiza
Veröffentlicht: (2022)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
von: Neehal, Ahmed Hasin, et al.
Veröffentlicht: (2020)

Tiny-ML based person identification in dynamic motion
von: Ahmed, Mirza Raiyan, et al.
Veröffentlicht: (2024)

A counseling system to predict the study path for freshmen
von: Usha, Rowshni Tasneem, et al.
Veröffentlicht: (2019)

A machine learning approach to predict young voter enthusiasm based on non-political factors
von: Rahman, Md. Nowroz Junaed, et al.
Veröffentlicht: (2021)

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
von: Rukaiya, Maymuna, et al.
Veröffentlicht: (2023)

An effective machine learning approach for sentiment analysis of restaurant reviews
von: Karim, Rabita
Veröffentlicht: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
von: Rahee, Arnob, et al.
Veröffentlicht: (2021)

Bangla text classification using machine learning and deep learning techniques
von: Salehin, Kamrus, et al.
Veröffentlicht: (2021)

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

Credit card fraud detection using machine learning techniques
von: Kabir, Tasmia, et al.
Veröffentlicht: (2021)

Multimodal fake news detection using text and image
von: Biswas, Trisha, et al.
Veröffentlicht: (2024)

Multisystemic resilience :

Forecasting stock market prices using advanced tools of machine learning
von: Anwar, Md. Tawhid, et al.
Veröffentlicht: (2019)