Essays about: "data mining technique"
Showing result 1 - 5 of 53 essays containing the words data mining technique.
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1. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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
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2. 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)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
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3. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Association rule hiding (ARH) is the process of modifying a transaction database to prevent sensitive patterns (association rules) from discovery by data miners. An optimal ARH technique successfully hides all sensitive patterns while leaving all nonsensitive patterns public. READ MORE
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4. Geological characterization of rock samples by LIBS and ME-XRT analytical techniques
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : One of the major challenges in earth sciences and mineral exploration has been to determine with high accuracy and at a fast rate the elemental composition as well as the general chemistry of a rock sample. Many analytical techniques e.g. READ MORE
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5. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. READ MORE