[Essay Topic]
(The following topics include but are not limited to)
Topic 1: Machine Learning
supervised learning algorithm
Unsupervised Learning Techniques
Reinforcement Learning Framework and Applications
Model selection, validation, and evaluation metrics
Probability Models and Bayesian Methods
Machine learning optimization algorithm
Topic 2: Data Mining
Software components and reuse 
Data Stream Mining
Green and Sustainable Development Software
Graph and subgraph mining
Large scale data mining methods
Software processes and workflows
Text, video, and multimedia data mining
software requirement engineering
Web Mining
Software Reuse and Metrics 
High performance data mining algorithm
Software testing and analysis
Data Mining Visualization
Software Reuse and Metrics 
Topic 3: Big Data Analysis
Algorithms and systems for big data analysis and search
Big data search algorithms and systems
Big data analysis, analysis, and metrics
Big Data Analysis Architecture
Big data models and algorithms
Big data architecture
Big Data Management
Big data protection, integrity, and privacy
Big data security applications
Big data search and mining