How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

الموضوعات:

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"

K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

"…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"

Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units حسب Shanableh, Tamer

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Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"

Public Administration Studies: The Digital Trajectory حسب " (19517680)

الموضوعات:

Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) حسب Zeitunlian, Arda

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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …"
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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

الموضوعات:

A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

"…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"

VEGAWES: variational segmentation on whole exome sequencing for copy number detection حسب Samreen Anjum (19651882)

"…In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection حسب Serkan Kiranyaz (3762058)

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method حسب Shahid Rahman (16904613)

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor حسب Maen Takruri (10873368)

Using Data Mining in CRM to Understand the Insurance Market حسب Qadadeh, Wafa

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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

"…Utilizing the same common communication infrastructure, it also allows the utilities on different consumption levels (community, state, country) to monitor and visualize the energy consumption in their respective grid segments on daily, monthly, and yearly basis. A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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