Automated Crack detection using deep learning

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