Research Topics in Data Mining

Research Topics in Data Mining

     Research Topics in Data Mining provide you innovative and newfangled ideas to explore your knowledge in research. We have a research team that consists of top-level experts and versatile developers to provide precise research guidance for research scholars and students. We have 5000+ happy customers from all over the world, and still, we are providing support for them through our 120+ branches situated in various countries. And also, we attained the world’s topmost position among other renowned institute in research.

We also have a tie-up with the standard universities and colleges to provide the best research guidance for the research scholars and students. And also, We have to deal with a complex problem to provide an accurate solution with the help of our experienced professionals in research. We never give up on your research concepts once we committed to you. Our work will prove who we are? What is our standard? How was the experience with us?

Best Research Topics in Data Mining Online Topics in Data Mining

     Research Topics in Data Mining offer you nurture platform to shine your research career successfully. Data mining is used to mining meaningful information from large datasets. So we provide support for knowledge mining, i.e., we mine the best and innovative ideas for your project with our top experts’ help. We also provide support for all the students like undergraduate (BE, BTech) postgraduate (ME, MTech, MCA), and research scholars (MPhil, MS, PhD).

We also support research scholars and students in various data mining domains like frequent itemset mining, web mining, opinion mining, etc. In the past 10+ years, we are working in this field, and also, many students are benefited from our smart work. Now let’s have a glance at data mining for your review,

  —”Data mining is a technique which is also used to extract meaningful information from a huge database. It is used in many research areas, including mathematics, cybernetics, genetics, and also marketing. The benefit of data mining is to find uncover hidden patterns and also relationships in data that can be used to make predictions that impact businesses.”

Key Features of Data-Mining

  • Visualization, learning and also statistical techniques support
  • Focus on large data set and also databases
  • Automatic discovery of patterns
  • Python, R, Lisp/Clojure, SQL, also Matlab programming languages used

Graphical user interface support

Rattle GUI:
  • Free and open source package
  • R statistical software and also programming support
  • Used for statistical analysis or model generation
  • It allows for the dataset to be partitioned [training, validation and also testing]
  • Machine learning algorithms serves as collection
  • Open source software also based on java
  • Primarily designed as a tool for analyzing data [agricultural domains]
  • Its also graphical user interfaces allow user to easy use.
Oracle Data Miner GUI:
  • Oracle SQL developer extension
  • Automation, scheduling and also deployment using SQL and PL/SQL scripts
  • It enables data analysts to view their data and also accelerate model deployment
  • Used to built and also evaluate multiple machine learning/data mining models
  • Open source software (Python based)
  • Data analysis and also visualization purpose
  • Support python library also for data manipulation and widget alteration in advanced users
  • Used to create lining predefined or user-designed widgets
Rapid Miner:
  • Java based open source platform
  • Predictive analysis purpose
  • Used in client/server model with the server offered as either on-premise, or in public or private cloud infrastructures

Database Used

Oracle Database 12c:
  • It is also purposely designed for the cloud
  • Composed of oracle database 11g release 2, SQL developer, also Data Miner Repository
  • Faster and simpler, schema-based consolidation without changes to existing applications
SQL Server:

Provide add-in for:

  • Microsoft office Visio 2010 (Data mining templates)
  • Micro-soft office excel (Table analysis tools and also data mining clients)
Apache Mahout:
  • Data mining library and also scalable learning
  • Scalable machine learning and also data mining
  • Managing, writing and also learning large datasets
  • It provide data summarization, query and also analysis
Most Commonly Used Algorithms and Methods:
  • Neural Networks
  • Genetic algorithms
  • Nearest neighbor method
  • Semi-supervised learning
  • Rule reduction
  • Data visualization
  • Statistical algorithm
  • Regression algorithm

                 -Stepwise regression

                 -Logistic regression

                 -Locally estimated scatter plot smoothing

                 -Ordinary least squares regression

                 -Linear regression

                 -Multivariate adaptive regression splines

  • Supervised learning
  • Instance based algorithms

                  -K-Nearest Neighbor

                  -Locally weighted learning

                  -Learning vector quantization

                  -And also in Self-organizing map

  • RSM and CHAID
  • CART
  • 5
  • AdaBoost
  • EM algorithm

Frameworks and Libraries Used

  • Apache Mahout
  • Juttle
  • Microsoft OLE DB also for Data mining
  • Text Analyst COM
  • PolyAnalyst COM
  • Data Mining template library
  • Waffles
  • XAffinity
  • WizWhy-OCX
  • Knowledge STUDIO SDK
  • NAG Data mining components
  • Machine learning framework
  • Wiz [Open java data mining and also knowledge discovery platform]
  • Java data mining package
  • Dlib C++ library
  • Mloss [Machine learning open source software]
  • Weka
  • YCML [Optimization and also machine learning algorithms]
  • Very fast machine learning library
  • Sav Z
  • Scikit learn
  • Orange
  • XELOPES [Also For embedded data mining]

Recent Research Applications

  • Market Basket Analysis
  • Educational data mining
  • Manufacturing engineering
  • Bio informatics
  • Research analysis [Data pre-processing, data cleaning and also database integration]
  • Criminal investigation
  • Customer segmentation applications
  • Corporate surveillance and also financial banking
  • Sentiment analysis and also Lie detection
  • Intrusion detection and also fraud detection
  • Customer relationship management
  • Education data mining
  • Future health care also based on applications
Approaches used:

                  -Machine learning


                  -Data visualization

                  -And also Machine learning

Recent Research Topics

  • Data mining techniques also for bankruptcy prediction
  • Data mining and forensic techniques also for an internal intrusion detection and protection system
  • Mining frequent itemsets on temporal data also using new methodology
  • Diabetes therapy management by data stream mining also using real time decision rules
  • Hashing and lexicographie order in hardware also for approximate frequent itemsets mining on data streams
  • Data mining and web technology also for department automation system
  • Building cooling load prediction and also for energy efficiency improvement using mining big building operational data
  • Business intelligence also using an advanced inventory data mining system
  • Data mining for effect of temperature and also rainfall of paddy yield

       The above information will give you an understanding of Data-Mining to get a clear vision of data mining. We also provide additional support for Project development, Thesis writing, Journal paper writing and also Journal publication, etc. If you also have any questions or comments, please get in touch with us. Our tutors are also waiting for communication with you to provide support for your research convenience. Our online service is available 24×7.

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