UNIT – III
DATA MINING & DATA
PREPROCESSING
, OVERVIEW
• Data Mining–Concepts
• DBMS versus Data Mining
• Kinds of Data in Data Mining
• Applications of Data Mining
• Issues in Data Mining
• Challenges in Data Mining
• Need for Data Pre-processing
• Data Cleaning
• Data Integration
• Data Transformation
• Data Reduction
,• Data mining is the process of searching and analyzing a large
batch of raw data in order to identify patterns and extract useful
information.
• Data mining techniques and tools help enterprises to predict
future trends and make more informed business decisions.
• Companies use data mining software to learn more about their
customers. It can help them to develop more effective marketing
strategies, increase sales, and decrease costs.
• Data mining relies on effective data collection, warehousing, and
computer processing.
,
DATA MINING & DATA
PREPROCESSING
, OVERVIEW
• Data Mining–Concepts
• DBMS versus Data Mining
• Kinds of Data in Data Mining
• Applications of Data Mining
• Issues in Data Mining
• Challenges in Data Mining
• Need for Data Pre-processing
• Data Cleaning
• Data Integration
• Data Transformation
• Data Reduction
,• Data mining is the process of searching and analyzing a large
batch of raw data in order to identify patterns and extract useful
information.
• Data mining techniques and tools help enterprises to predict
future trends and make more informed business decisions.
• Companies use data mining software to learn more about their
customers. It can help them to develop more effective marketing
strategies, increase sales, and decrease costs.
• Data mining relies on effective data collection, warehousing, and
computer processing.
,
