Enhancement of parallel K-means algorithm for clustering big datasets

Enhancement of parallel K-means algorithm for clustering big datasets

Big Data encompasses huge amounts of complex data which is generated in different areas such as business, marketing, educational systems, IoT, and healthcare. For instance, in the healthcare domain, huge amounts of data are generated daily from different sources such as health monitoring and medical...

Saved in:

书目详细资料
主要作者:	Ashabi, Ardavan
格式:	Thesis
语言:	English
出版:	2022
主题:	T Technology (General)
在线阅读:	http://eprints.utm.my/102827/1/ArdavanAshabiPRAZAK2022.pdf.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Privacy preserving data mining using anonymization and K-means clustering on labor dataset
由: Ahmad Zahari, Samahah Solehah
出版: (2019)

Optimized clustering with modified K-means algorithm
由: Alibuhtto, Mohamed Cassim
出版: (2021)

Improved k-means clustering using principal component analysis and imputation methods for breast cancer dataset
由: Armina, Roslan
出版: (2018)

Hybrid optimization for k-means clustering learning enhancement
由: Farhang, Yousef
出版: (2016)

Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
由: Dalatu, Paul Inuwa
出版: (2018)

Enhanced Block-Based Copy-Move Image Forgery Detection Using K-Means Clustering Technique
由: Mohammed Abdo Al-Qershi, Osamah
出版: (2018)

K-means algorithm via preprocessing technique and singular value decomposition for high dimension datasets
由: Usman, Dauda
出版: (2014)

Mapreduce algorithm for weather dataset
由: Khalid Adam, Ismail Hammad
出版: (2017)

Enhanced Late-Straggler Algorithm With On-Demand Etl For Big Data Retrieval
由: Zakaria Katrawi, Anwar Hussein
出版: (2022)

K-means with modified simulated annealing and great deluge algorithms for clustering problems /
由: Kittaneh, Rawnaq Raji Nemer
出版: (2011)

An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
由: Tafreshi, Amir Esmaeil Sarabadani
出版: (2013)

Segmentation of flair magnetic resonance brain images using K-Means Clustering algorithm / Nur Nabilah Abu Mangshor
由: Abu Mangshor, Nur Nabilah
出版: (2010)

Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images
由: Farah Hanim Bt Abd Jabar

A framework for automated quality assessment of software requirement specification based on part-of-speech tagging, multi-agent k-means clustering and case-based reasoning
由: Jubair, Mohammed Ahmed
出版: (2022)

Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin
由: Zainal Abidin, Abdul Hakim
出版: (2016)

Identifying Clusters Of Users In Twitter Dataset
由: Heidarian, Arash
出版: (2011)

Comparative analysis of K-Means and K-Medoids for clustering exam questions / Nurul Zafirah Mokhtar
由: Mokhtar, Nurul Zafirah
出版: (2016)

Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering
由: Abang Mohd Arif Anaqi, Abang Isa
出版: (2021)

Detection of myocardial infarction in cardiac MRI colour-based K-means clustering segmentation /
由: Arifah Azura Abdul Latif
出版: (2010)

Traffic-signage detection and recognition on K-means clustering and Support Vector Machine classification
由: Quek, Kelvin Wei Luo
出版: (2014)

Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system
由: Hamzah, Nur Atiqah
出版: (2018)

Copy-move image forgery detection based on Gabor descriptors and K-Means clustering /
由: Parvez, H. M. Shahriar
出版: (2018)

Electroencephalogram stress level classification using k-means clustering and support vector machine
由: Tee, Yi Wen
出版: (2021)

Presentation of dissertation/thesis sheduling system (PDTSS)
由: Ardavan, Ashabi
出版: (2013)

Presentation of dissertationthesis sheduling system (PDTSS)
由: Ashabi, Ardavan,
出版: (2013)

Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri
由: Nik Mohd Asri, Nik Asyraniasna
出版: (2024)

Enhanced Beacon Scheduling for Cluster Tree Topology in Wireless Personal Area Network
由: Dyg Khayrunsalihaty Bariyyah, Bt Abang Othman
出版: (2019)

AK-means geometric smote with data complexity analysis for imbalanced dataset
由: Nur Athirah, Azhar
出版: (2023)

K-means clustering and visualizing of significant words prototype for crowdsourced relationship comments / Muhammad Syafiq Mastor
由: Mastor, Muhammad Syafiq
出版: (2015)

Comparison of fuzzy C means and K means clustering technique using color segmentation for prostate cancer cell images / Nuratiqah Mohd Zahari
由: Mohd Zahari, Nuratiqah
出版: (2012)

Enhancements of kernel learning algorithms for clustering
由: Awan, Abdul Majid
出版: (2007)

Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
由: Muhammad Anuar, Siti Norainul Faraha
出版: (2015)

Business sustainability practice (BSP) profile assessment in Malaysia economic sectors using K-mean clustering approach
由: Nur Soliha, Sahimi
出版: (2020)

In-Cluster Combiner Algorithm on Virtual Hadoop Clusters
由: Mhlanga, Imran Artwel J.
出版: (2019)

Fuzzy C-means clustering algorithm with level set for MRI cerebral tissue segmentation
由: Maolood, Ismail Yaqub
出版: (2013)

Real-time anomaly detection using clustering in big data technologies /
由: Habeeb, Riyaz Ahamed Ariyaluran
出版: (2019)

Investigation And Development Of Forensic Mean-Based Adaptive Background Correction Algorithm (Mabca) For Visual Enhancement Of Bloodstains, Seminal Stains And Fingerprints
由: Lee, Wee Chuen
出版: (2017)

Clustering of large time-series datasets using a multi-step approach /
由: Yazdi, Saeed Reza Aghabozorgi Sahaf
出版: (2013)

Topological mapping and qualitative localization based on K-adjacent union clustering algorithm
由: Karasfi, Babak
出版: (2012)

Cluster validity of the fuzzy C-means algorithm in mammographic image using adaptive cluster & partition entropy indexes / Azwani Aziz
由: Aziz, Azwani
出版: (2010)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group

Cannot write session to /tmp/vufind_sessions/sess_nbobjs1bna5iik3319br6ktt31