Data Mining with Big Data Project
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Data Mining with Big Data Project
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The Most Important Steps insights from Big Data with Data Mining:
- Acquisition and Recording
- Extraction, Cleaning and Annotation
- Integration, Aggregation and Representation
- Data Modelling and Analytics
- Data Preparation and Interpretation
- Data Visualization and Prediction
Activities involving in Big Data Mining or Extraction:
- Semantic Search
- Topics Extraction
- Clustering Records
- Classification or Categorization
- Records Organization
- Duplicate and Near Duplicate Detection
- Keyword or key phrase extraction
Research Directions: Big Data and Data Mining
- Social Big Data Mining Technologies:
- Parallel Distrusted Processing
- Large Scale Visualization
- Anomaly Detection
- Information Extraction
- Natural Language Processing
- Integrated Analysis Model
- Discovery of Relationships among Heterogeneous data ‘
- Big Data Analytics
- Data analytics using Hadoop MapReduce
- Text Analytics using Information Extraction
- Sentiment analysis to Opinion Mining
- Question Answering
- Audio Analytics using two approaches (transcript and phonetic based)
- Video Content Analysis (served and edge based)
- Social Media Analytics
- Network Analysis:
- Community Detection
- Social Recommendation
- Link Mining
Now, let’s see the Big Data Mining tools and algorithms,
Big Data Mining Tools:
- Storm
- Apache Mahout
- Apache Hadoop
- Apache S4
- MOA
Algorithms in Big Data Mining:
- Hierarchical based clustering algorithms
- Hybrid clustering algorithms
- Model based clustering algorithms
- Evolutionary based classification algorithms
- Decision tree induction based classification algorithms
- Partitioning based clustering algorithms
- Classification trees
- Logistic regression
- Neural networks
- Clustering techniques like K-nearest neighbours
Most Recent Data Mining with Big Data Project Topics:
- Uncertain Data Interesting Patterns for Reduce Big Data Mining Search Space
- Big Data Distributed Mining Using Fast online Learning Algorithm
- Machine Learning and Statistical Data Mining Techniques for Big Data Analysis and Predictive Modeling
- An Effective Statistical Analysis and Modeling Techniques for Big Data Mining
- Big Data Analytics Using Cloud Based Software Framework in Smart Grids
- A Novel Big Data Mining Approaches for Crude Medicinal Plants Knowledge and Omics to Big Data Biology
- Identify and Manage High Cost And High Risk Patients In Healthcare Using Big Data Analytics
- Discover RFID Enabled Production Data Logistics Trajectory Using Bid Data Technique
- Business Intelligence Using Demystifying Big Data Analytics Over Marketing Mix
- Big Data MapReduce for Knowledge Acquisition Based on Parallel Rough Set
- Data Analytics Using a Novel Linked Open Data and Data Mining Perspectives in Environmental Research
- Data Mining for Develop Hybrid Intrusion Detection Framework in Power Systems
- Topic Modeling for Medical Big Data Mining Development Process
- Data Mining Techniques for Big Data Operation Performance Assessment
- Evaluate Data Mining Tools Using Experimental Design for Telecommunication Monitoring Data
