This document discusses recent research topics in data mining. It lists topics such as process mining for middleware adaptation, analyzing cloud service reviews using opinion mining, and using machine learning for cyber security. It also discusses modern machine learning approaches in data mining, including techniques like data fusion and neuro-rule learning. Finally, it outlines topical approaches in data mining, such as handling diverse data types, user interaction, visualization of results, and ensuring privacy and scalability. The document provides an overview of current issues and methods in data mining research.

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RESEARCH
TOPICS ON
DATA MINING

2. Process mining for
middleware
adaptation
Submerging cuboids
using searching data
cube
Opining for
analysing cloud
services reviews
Community
knowledge using
building ontology
Cyber security
with machine
learning
Spark for design of
educational big
data application
RECENT NOTIONS IN DATA MINING
Hereby we have listed down the latest research topics in the data mining projects,
1 2 3
4 5 6

3. 3
CRISP-DM
Cross-industry
standard process
OLAP
Online analytical
processing
Techniques
Data fusion
approach
OLTP
Online transactional
processing
NeuroRule
Connectionist
approach
MODERN MACHINE LEARNING PROCESS
Let us discuss about the New Machine Learning Approach in Data-Mining,

4. 4
Data
Mining
Methodology
An Inter
disciplinary
effort in data
mining
Diversity of
data
types
Global, mining
dynamic
networked data
repositories
User
interaction in
data mining
Visualization and
Presentation of
data mining
results
Data
mining and
society
Datamining
with privacy-
preserving
and invisible
Efficiency
and
Scalability
Scalability
and efficiency
of data mining
algorithms
TOPICAL APPROACHES IN DATA MINING
Hereby we have listed down the recent issues based on the data mining,

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