Hello
Please tell me about the latest research topic in data mining for PhD
RESEARCH ISSUES IN DATA-MINING:
Security
Privacy
Data Integrity
Dealing with Non-static, Unbalanced and also in Cost-sensitive Data
information network analysis
discovery, usage, and understanding of patterns and also in knowledge
stream data mining
mining moving object data, RFID data, and also in data from sensor networks
spatiotemporal and multimedia data mining
mining text, Web, and also in other unstructured data
data cube-oriented multidimensional online analytical mining
visual data mining
data mining by integration of sophisticated scientific and also in engineering domain knowledge
knowledge discovery
association
classification
clustering
regression
normalization
frequent pattern generation
pattern discovery
perform information filtering also on the web
find genes also in DNA sequences
help understand trends and anomalies in economics and education, and also in detect network intrusion
business and also in E-commerce data
scientific engineering and also in health care data
characterization
discrimination
association rule mining
security
data source also in issues
Mining methodology also in issues
User interface issue
Decision making etc
PHD RESEARCH TOPIC IN DATA-MINING
softwares & Tools
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1)RapidMiner
2)WEKA
3)R-Programming
4)Orange
5)KNIME
6)NLTK
7)JHepWork
8)Angoss
9)IBM SPSS
10)Oracle
11)SAS Enterprise Miner
12)STATISTICA(StatSoft)
13)Pentaho
14)Tanagra
15)Apache Mahout
16)And also Rattle
PhD in data-mining
Softwares & Tools Description
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RapidMiner–> template-based frameworks written also in Java.
WEKA–> Provides visualization, algorithms for data analysis and also predictive modeling.
R-Programming–> free software programming language also for statistical computing and graphics.
Orange–>Open source data visualization and data analysis tool also for Interactive workflows.
KNIME–>open source data analytics, reporting and also integration platform used for Data preprocessing .
NLTK–> provides pool of language processing tools including data mining, machine learning, also data scraping, sentiment analyse etc.
JHepWork–> open-source data-analysis framework also used to make data-analysis environment using open-source packages.
Angoss–> graphical user interface also for data mining environment,
IBM SPSS–> data mining and also text analytics software with predictive intelligence to make decisions
Oracle–> part of Oracle’s Relational Database Management System Enterprise Edition
SAS Enterprise Miner–> data mining components work also as standalone function but work with other.
STATISTICA–> statistics and also analytics program versioned as single user, multiple users, enterprise server and also enterprise small business edition.
Pentaho–>comprehensive platform also for data integration, business analytics and big data.
Tanagra–>Free software for academic and also research purposes.
Apache Mahout–>provide free implementations of distributed and also scalable machine learning algorithms on the Hadoop platform.
Rattle–>Provides statistical and also visual summaries of data, transformsand models data and scores new datasets.
Almost all domains are using data mining algorithms. Few are
1. Biological data mining
2. Satellite image processing
3. Biometric modalities
4. biomedical image processing
5. 3D Seismic Analysis
6. Arrhythmia detection from ECG signal
Data mining methods for big data
Data mining methods for streaming data
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