Essays about: "analysis of DATA MINING ALGORITHMS"

Showing result 1 - 5 of 61 essays containing the words analysis of DATA MINING ALGORITHMS.

1. 1. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Manjunath Kakkepalya Puttaswamy; [2023]
   Keywords : Apache Flink; Apache Spark; Big Data; Twitter; X;

   Abstract : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. READ MORE

3. 2. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Axel Ekblom; Jacob Karlén; [2023]
   Keywords : process mining; workflow mining; data mining; radiology; PACS;

   Abstract : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. READ MORE

4. 3. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Xuechun Lu; [2023]
   Keywords : Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

   Abstract : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. READ MORE

5. 4. Evaluating clustering techniques in financial time series

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Johan Millberg; [2023]
   Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

   Abstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE

6. 5. The Myth of Incentive-Based Sales Strategies: an Empirical Analysis Contradicting Prevailing Theories using Data Mining and Hypothesis Testing Techniques

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Yidan (Nickia) Liang; [2023]
   Keywords : Reward Program; Reward Evaluation; Data Mining; RFM; Customer Segmentation; Clustering; K-Means; Hypothesis Testing; One-Sided T-Test; Marketing Effectiveness; Incentive-Based Sales Strategy; Sales Promotion;

   Abstract : In recent decades, the use of incentive-based reward programs to foster customer loyalty and promote sales has become prevalent in various industries. While these strategies are widely accepted and implemented, there is a significant gap in empirical studies to ascertain their real-world effectiveness. READ MORE