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Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review
This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM),...
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Using data mining techniques to generate test cases from graph transformation systems specifications
Software testing plays a crucial role in enhancing software quality. A significant portion of the time and cost in software development is dedicated...
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Integrating case-based and rule-based reasoning for diagnosis and treatment of mango disease using data mining techniques
Mango disease management is a critical challenge for mango growers, and an intelligent system that can effectively diagnose and treat diseases is...
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Big data analysis of mental health intervention effects in student-athletes: based on data mining techniques and affective computing algorithms
Student-athletes suffer specific pressures and obstacles in regard to their studies and sports performance, making mental health concerns a major...
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Image-based random rotation for preserving the data in data mining process
The privacy and security of big data have become a major concern in recent years, necessitating privacy-preserving data mining strategies to preserve...
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Bibliographic Review on Data Mining Techniques Used with Weather Data
AbstractThis paper describes an exhaustive bibliographic review, which searches for and analyzes the latest trends in the use of techniques and...
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An overview of semantic-based process mining techniques: trends and future directions
Process mining algorithms essentially reflect the execution behavior of events in an event log for conformance checking, model discovery, or...
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Predicting students’ performance in English and Mathematics using data mining techniques
This study attempts to predict secondary school students’ performance in English and Mathematics subjects using data mining (DM) techniques. It aims...
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Privacy-Preserving Data Mining
The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The...
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Identifying missing data handling methods with text mining
Missing data is an inevitable aspect of every empirical research. Researchers developed several techniques to handle missing data to avoid...
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Keyword expansion techniques for mining social movement data on social media
Political and social scientists have been relying extensively on keywords such as hashtags to mine social movement data from social media sites,...
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Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Cardiovascular diseases are the leading contributor of mortality worldwide. Accurate cardiovascular disease prediction is crucial, and the...
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Feature Selection Using Data Mining Techniques for Prognostication of Cardiovascular Diseases
Cardiovascular diseases (CVD) are a major cause of mortality world-wide causing about 17.9 million deaths per year. Cardiovascular illnesses are a...
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Develo** knowledge-based system for the diagnosis and treatment of mango pests using data mining techniques
Detecting the pests of mango plants at an early stage requires an expert to identify the pests, describe the methods of treatment and protection....
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Mining Top-K constrained cross-level high-utility itemsets over data streams
Cross-Level High-Utility Itemsets Mining (CLHUIM) aims to discover interesting relationships between hierarchy levels by introducing the taxonomy of...
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A framework for proposing a liquid stock portfolio using frequent itemset mining from time-series data
Data mining provides various frequent pattern mining methods to help business owners identify items with frequency or utility values greater than a...
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Using Twitter to analysis of social innovation through user comments data mining
The objective of the research was to extract the opinions of social media users regarding social innovation, recognize common terms, and comprehend...
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Data Mining in Medicine
Clinical databases collect large volumes of information. Relationships and patterns within these data could provide new medical knowledge. Data...
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Fuzzy Association Rule Mining Techniques and Applications
Fuzzy Association Rule Mining (FARM) is considered as a significant part of data mining approach that uses fuzzy logic to extract meaningful patterns...
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Information Retrieval Using Data Mining
The expansion of information processing has generated huge quantity of data bank and large data in different domain. Free Conjoin is modify in fact...