Data Mining Tools

Data mining tools use advanced algorithms and techniques to search large data sets to discover patterns and trends. They are used to uncover hidden knowledge, improve business processes, better understand customers, and make informed decisions. By helping to identify correlations, discover anomalies, and provide predictive analytics, data mining tools can help businesses uncover patterns and trends, optimize their operations and marketing, and increase profits.

← Journal of Big Data Research

Related Articles

36 article(s) found

Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data

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Testing Maternal-Fetal Genotype Incompatibility with Mother-Offspring Pair Data

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Predictors of Averse Events After Total Laryngectomy: An Analysis of the 2005-2011 NSQIP Datasets

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Examining the Low Women Autonomy in Household Decision Makings in Sidama Zone, Southern Ethiopia

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Mental Health Promotion Through Collection of Global Opinion Data

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Calcium Transient Assays for Compound Screening with Human iPSC-derived Cardiomyocytes: Evaluating New Tools

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Supporting Quality Data Systems:  Lessons Learned from Early Implementation of Routine Viral Load Monitoring at a Large Clinic in Lilongwe, Malawi

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Hospital Episodes Due to Antidepressant Overdose: An Under-Utilised Source of Pharmacovigilance Data

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Development of a Chronic Obstructive Pulmonary Disease Severity Classification System Using A Japanese Health Insurance Claims Database

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Morphological Features of Wild Mallard Ducks on Postnatal Growth Based on Functional Analysis of Capture-Recapture Data

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Ovarian Cancer Identification Based on Feature Weighting for High-Throughput Mass Spectrometry Data

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Big Data Research: Database and Computing

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Oncolytic Viruses: Can be Applicable Tools for Cancer Therapy?

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RETRACTED: 3D-Method for Determining the Imaging Quality of Ultrasound Probes

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Secular Trend in the Incidence of Japanese Employees with Thyroid Cancer Undergoing Thyroidectomy from 2005 to 2014: a Retrospective Descriptive Study Using an Employment-Based Insurance Claims Database

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Geomatic Tools for Water Management in a Community Irrigation System, Cruz del Eje, Córdoba.

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RESinvANFIS v1.0 - A Versatile MATLAB Tool for Inverting Geoelectrical Resistivity Sounding Data using Neuro Fuzzy Technique

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Closed Frequent Itemsets Mining Based on It-Tree

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Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change

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Determining the Efficiency of Fuzzy Logic EOQ Inventory Model with Varying Demand in Comparison with Lagrangian and Kuhn-Tucker Method Through Sensitivity Analysis

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Rate, Maternal and Fetal Outcome of Cesarean Delivery Performed by IESO at Shenen Gibe General Hospital, Jimma South West Ethiopia: A Descriptive Retrospective Data

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Models and data Analysis of the Outbreak Risk of COVID-19

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Lipid Assemblies as Tools for Drug Delivery

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Controlling the Covid-19 Pandemic without Killing the Economy: About Data Driven Decision Making with a Data Model Assessing Local Transmission Risk

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Can Data-Driven Hypotheses Replace the Scientific Method?

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Mining Frequent Sequential Patterns

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A Missing Data on Covid-19 Forecasts

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Characterizing the Dynamics of Covid-19 Based on Data

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Legal, Marketing, and Advertising Issues with Big Data

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Users Perception and Factors Affecting Data Quality in Nyarugenge Public Health Facility, Rwanda

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Examining the Effects of Mobile Telephone Communication on the Utilization of Antenatal Care Services Among Expectant Mothers in Kyotera And Rakai Districts, Uganda

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Clustering objects for spatial data mining: a comparative study

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Capturing School Data on Bullying and Harassment is Just the Beginning of the Story, Using the Data Can Provide Us with an Ending

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A Data Mining Methodology for Detecting Conspiracy Theories from Scientific Articles: The Covid-19 Case

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Development of Municipal Decision-Making Strategies as Management Tools to Combat Waterborne Diseases

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A Decision Tree Ensemble Approach to Diabetes Prediction using the Framingham Heart Dataset, Exploring the Role of AI-Associated Interventions in Reducing Diabetes-Related Adverse Outcomes Between Men and Women

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