Data and Text Mining

Data and Text Mining is the process of extracting meaningful information from large volumes of data. It combines techniques from artificial intelligence, machine learning, natural language processing, and database management to locate patterns and trends in large datasets. It can be used to uncover customer buying behavior, predict future customer behavior, analyze customer sentiment, and detect fraudulent activity, among many other uses. By mining data and text, businesses can gain valuable insights they can use to make better decisions, grow their customer base, and increase sales.

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Related Articles

42 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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Functional, Structural and Contextual Analysis of a Variant of Uncertain Clinical Significance in BRCA1: c.5434C->G (p. Pro1812Ala)
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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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How Harm Reduction Programs Work in The Context of Village and Commune Safety Policy: Lessons Learned from A National Non-Governmental Organization in Cambodia
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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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Skills Required to Head Physician for the Management of Staff. Emotions in the Organizational Context
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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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The Temporal World in Caregivers of Cancer Survivors: Intertextual Analysis of their Experiences about the Perception of Time Compared with Excerpts from the Book "Einstein's Dreams
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Contextual Action Theory in Nursing
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A Qualitative Assessment of an Innovative Suicide Prevention and Treatment Approach: Contextual-Conceptual Therapy
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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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Mental Health in The Context of The COVID 19 Pandemic
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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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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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Post Covid-19 Doctor-Patient Relationship Model. Creation of Social Connection Contexts With Physical Distancing
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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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Context Specific Complementary Feeding Recommendations for Children in Pakistan Based on Secondary Analysis of National Complementary Feeding Assessment and Pakistan Demographic Health Survey 2018
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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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Rights of Women with Mental Illness (WWMI): Nigeria in Context
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Existential Therapy and the Contextual Model: Unified by Presence, Flexibility, and Meaning-Making
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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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