The document outlines various data mining master projects, focusing on social media mining and algorithms used for movie rating prediction. It discusses key applications, techniques, and issues related to data mining, including handling heterogeneous databases and challenges of reliability and scalability. The content is aimed at providing ideas and resources for master students in the field of data mining.

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DATA MINING
MASTER
PROJECTS

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Social Media Mining Developing big data
Certain algorithms Implement in master projects
Movie rating prediction We use to predict the movie rate
Text Mining Text mining techniquies
KEY APPLICATIONS IN DATA
MINING RESEARCH
Key Applications in Data Mining Research are developed by our expert for scholars,
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Data mining
technique
Heterogeneous
database
Synthesis
algorithms
Classification
and clustering
Data mining
algorithm
Scalability and
efficiency
Data mining
Issues
Reliability and
Scalability
Data mining
types
Relational and
complex handled
NOTICEABLE IDEAS IN DATA
MINING
Let us discuss about ideas in data mining for master students projects,

4. Large amount of data processing
Automated technique are used to analyse
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Complex data structure
Heterogeneous data storage in legacy systems
Imprecise and incomplete data
SIGNIFICANT FEATURES OF
DATA MINING
Significant Features of Data Mining described by us for research scholars,
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