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Leading SCIE and SCOPUS Indexed Journals in Data Mining

Leading SCIE and SCOPUS Indexed Journals in Data Mining

   In this digital era, an enormous amount of unstructured data is generated by many sources such as science, industries, medicine, and the environment. Data mining is a technique that helps extract potential information from large datasets. It utilizes a variety of data analysis tools to discover unknown useful patterns and relationships in data to be used to make accurate predictions. Several Data mining journals publish the latest developments in data mining concepts with advanced computing concepts.
   This list aims to provide top-ranking data mining journals that have published state-of-the-art results with trending topics in data mining. The list also provides insightful analysis of journal citation quality, including cite score, scientific journal rank (SJR), and H-Index.

General Scope and Topics Coverage of Data Mining Journals

  • Network Alignment Techniques - Classification Algorithms - Clustering Algorithms - Association Rule Mining - Text Mining - Text Summarization - Topic Modeling
  • Natural Language Processing - Information Retrieval - Question Answering System - Sentiment Analysis - Recommender Systems - Data preprocessing Methods
  • Graph Mining - Pattern mining - Stream Data Mining - Time-Series Data Mining - Multimedia Data Mining - Social Network Analysis - Spatial Data Mining
  • Semantic Analysis - Market Analysis - Fraud Detection - Data Mining in Healthcare - Financial Analysis - Stock Market Analysis

List of High Impact Factor Data Mining Journals