Classification Analysis
Analyzing Survey Data using Machine Learning
Statistics
Data Mining Techniques for Organizations
Data Mining Process
Data Mining Techniques for HR
Data Mining Techniques for Supply Chain
Analyzing Market Sentiment Through Text
Analyzing Survey Data using Machine Learning 
Survey data
analysis has become an essential part of business decision-making processes
...Logistic Regression Used for binary
classification problems
...
Statistics Statistics is a branch of mathematics dealing with data collection,
analysis, interpretation, presentation, and organization
...Text
Classification: Statistical algorithms are employed to categorize text into predefined classes, aiding in spam detection and content moderation
...
Data Mining Techniques for Organizations Overview of Data Mining Data mining involves the use of sophisticated data
analysis tools to discover previously unknown, valid patterns and relationships in large data sets
...Common Data Mining Techniques Technique Description Applications
Classification The process of finding a model or function that helps divide the data into classes based on different attributes
...
Data Mining Process This involves understanding the objectives and determining the specific questions that the
analysis aims to answer
...Common techniques include:
Classification Regression Clustering Association rules 2
...
Data Mining Techniques for HR applied in HR include: Recruitment and Selection Employee Performance Management Employee Retention and Turnover
Analysis Training and Development Diversity and Inclusion Initiatives Common Data Mining Techniques Used in HR Technique Description
...Technique Description Applications in HR
Classification This technique categorizes data into predefined classes
...
Data Mining Techniques for Supply Chain relevant to supply chain management: Technique Description Applications
Classification A process of finding a model or function that helps divide the data into classes based on different attributes
...Market basket
analysis, cross-selling strategies Time Series Analysis Analyzing time-ordered data points to extract meaningful statistics and characteristics
...
Analyzing Market Sentiment Through Text Market sentiment
analysis is a crucial aspect of business analytics that focuses on understanding the attitudes and emotions of consumers, investors, and other stakeholders based on textual data
...Machine Learning Frameworks: Frameworks like TensorFlow and Scikit-learn can be used to build sentiment
classification models
...
Key Components of Data Analysis Frameworks Data
analysis frameworks are essential tools in the field of business analytics, providing structured methodologies for extracting insights from data
...Classification: Assigning data points to predefined categories
...
Research Text Analytics Text analytics research can be categorized into several types, each focusing on different aspects of data
analysis: Descriptive Research: This type focuses on summarizing historical data to identify trends and patterns
...Classification, clustering, recommendation systems
...
Analyzing Textual Feedback for Continuous Improvement One critical aspect of business analytics is the
analysis of textual feedback
...Sentiment analysis and text
classification ...
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