Data Mining Research Topics

Data Mining Research Topics

        Data Mining Research Topics is a service with monumental benefits for any scholars, who aspire to reach the pinnacle of success. We live in a world which recently under goes digital revolution. The base and source for digital world is abundant data. This is offered by data mining technologies, which obtains the needed information from a pool of information. As data is the base of everything, data mining research topics becomes a universal field, which never goes out of style. Our service extends over a decade of innovation, constant updation and satisfaction. We offer you a service, which is a product of critical thinking and pioneering ideas of our team of experts and professionals. The data mining research topics are your one stop for attaining all the information regarding design methodology and fast growing technologies in the field of data mining. We are the power house of data mining research topics……..

Data Mining Research Topics

         Data Mining Research Topics is our research package where we offer thousands of research topics for students and research scholars. Scholars always seek perfect guidance for their project completion. They want to make sure that they came in safe hands when it comes to framing their thesis. We tell you that you can cease your search for perfect guidance as we offer you the best guidance anyone can ask for. Grab our hand and we will lead you straightway towards your success. If you are in need of any prior assistance regarding data mining research topics, you make use of our online service today and get all the information you want. Our online service is at available 24X7 to lessen your burden. Here we offer you the importance of data mining for your reference.

        —-“Data Mining is defined as an extraction of huge amount of data, which is previously in known yet possesses monumental importance for current scenario. Discovery of these data does will lead to framing new patterns and trends”. Let’s view our current interest on data mining,

Platforms We Support:

  • Ubuntu Linux
  • Microsoft Windows XP
  • MAC OS X
  • Solaris
  • Redhat Enterprise Linux
  • SUSE Linux
  • Cent OS Linux
  • UNIX
  • KDnuggets Poll
  • Windows Vista
  • HP UX
  • AIX
  • Etc.

Key Research Application Fields:

  • Data warehouse
  • Domain driven data mining
  • Behavior informatics
  • Bioinformatics
  • Web mining
  • Predictive analytics
  • Business intelligence
  • Big data analytics
  • Decision support system
  • Drug discovery
  • Image Processing
  • Text mining
  • Named Entity Recognition
  • Opinion mining

Major Algorithms as We Use in Data Mining Projects:

Decision Tree Algorithms:

  • MARS algorithm
  • Conditional decision tree
  • Regression and Classification tree
  • Iterative Dicnotomister 3
  • C4.5 and C5.0
  • Chi-squared automatics interaction detection
  • Assistant Decision tree learning algorithm
  • Hunt’s Algorithm
  • SPRINT and SLIQ Algorithm

Clustering Algorithms:

  • K-means and K-means++
  • Hierarchical Clustering
  • K-medians
  • Expectation maximization
  • Spectral and Canopy Algorithms
  • Fuzzy K-means
  • Streaming K-Means

Association Rule Learning Algorithms:

  • Apriori algorithm
  • Eclat algorithm
  • FP-tree /FP-growth algorithm
  • DIC algorithm
  • H-Mine algorithm
  • AprioriDP

Regularization Algorithms:

  • Ridge regression
  • Least Angle Regression
  • Elastic Net
  • Least absolute shrinkage and Selection operations
  • Modular Regularization algorithm
  • Machine Learning algorithm (supervised and unsupervised)

Bayesian Algorithms:

  • Naïve Bayes
  • Multinomial Naïve Bayes
  • Gaussian waive Bayes
  • K-dependence Bayesian Network Classifiers
  • Hybrid Bayesian algorithm
  • Complementary Naïve Bayes

Ensemble Algorithms:

  • AdaBoost
  • Gradient Boosting Machines
  • Gradient Boosted Regression trees
  • Boot Strapped Aggregation
  • Random forest
  • Stacked Generalization
  • BootStrap Sampling
  • Bayesian Averaging
  • Bagging
  • Error correcting output coding
  • Random subspace method

Artificial Neural Network Algorithms:

  • Hopfield Network
  • Radial Basis Function Network
  • Back Propagation Neural Network
  • Perceptron Neural Network
  • Convolutional Neural Network
  • Single layer and multi-layer perceptron
  • SOM (Kohonen’s) algorithm
  • Bayesian Regularized Neural Network

Dimensionality Reduction Algorithms:

  • Sammon Mapping
  • Discriminant Analysis (LDA, PDA)
  • Multidimensional Scaling
  • Projection Pursuit
  • Quadratic Discriminant Analysis
  • Principal component Regression
  • Partial Least Square Regression
  • Mixture Discriminant Analysis
  • Singular and stochastic value decomposition
  • Latent Dirichlet allocation
  • Lanczos algorithm

Deep Learning Algorithms:

  • Deep-Convolutional Neural Network
  • Deep Boltzmann machine
  • Stacked Auto-Encodes
  • Deep Belief Networks
  • Deep-Q-Network
  • Double Deep-Q-Network

Support for GUI Interfacing and Database:

GUI Interface:

  • Orange  (version 3.3.6)
  • Rapid Miner (version – Rapid Miner Studio 7.1)
  • Oracle Data miner GUI (version 4.0)
  • Weka ( version 3.6.8)
  • Rattle GUI (version 2.6.25) [Latest beta Version 5.0.12]
  • Matlab based GUI
  • KNIME GUI  (version R2011b, R2013a etc.)

Database used:

  • SQL Server
  • Hive
  • Oracle Database RC
  • Apache Mahout
  • Apache Spark
  • Apache Hadoop
  • Radoop
  • MongoDB
  • HBase
  • Cassandra DB
  • Amazon Web Services

Prominent Data Mining Research Topics:

  • Data integrity, privacy and security issues in data mining
  • Mining of Multi-agent data using data mining Concepts
  • For data mining a unifying theory can be created
  • For network setting data mining can be used
  • High dimensional data and high speed data can be streamed
  • Mining of sequence information and time unbalanced data
  • Distributed data mining applications

        We hope that the information provided regarding data mining is adequate for you to attain firsthand information about data mining. If not satisfied with the given data, you can contact us directly or seek our online guidance through Mail / Team viewer / Skype. Trust us completely with your project and you will not go disappointed. Ordinary minds will benefit extraordinary from our service. . . . . . .