Project Topics in Data Mining

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Topics in Data Mining

Project Topics in Data Mining provide you current techniques and new idea to familiar with data mining concepts. Our professionals are eagerly waiting to communicate with you to enhance your future brighter than ever. We also assist you through online and offline supports. Data mining generates new information from large pre-existing databases or datasets with the help of GUI integration tools.

Our alumni make us very innovative and trendy in research to accomplish the project well-organized manner. Let’s view crucial concepts and also algorithms in data mining for your review,

Crucial Concepts in Data-Mining

Boosting, Bagging and also Voting
Meta-Learning
Drill-Down Analysis
Predictive Data Mining
Machine Learning
Text Mining
Data Reduction
Data-Preparation
Deployment
Stacking
Feature Selection
Stacked Generalization

Classification Algorithms in Data-Mining

Decision trees
Ruleset classifiers
K-means
Support Vector Machine
Apriori algorithm
EM algorithm
PageRank
AdaBoost
KNN
Naïve Bayes
CART
Cost-sensitive learning
Probability tress

We have created and implemented new hybrid algorithms to improve our classification result accuracy compared to classical classification algorithms. Let’s view few hybrid algorithms also mentioned below for your reference,

Hybrid Classification Algorithms in Data-Mining

GA-SVM
Adaboost-SVM
Decision Tree-Naive bayes
SVM-CART
Multi-Objective Evolutionary algorithms
Pruning-based K-Nearest Neighbor (Pb-KNN)
Cluster-based methods and also KNN algorithm
Attribute Overlapping Rate (AOR) algorithm
Spam Filtering Email Classification (SFECM)
K-means clustering and also Sequential Minimal Optimization (SMO) classification
Dimensionality reductionalgorithm and also dependence degree (DRND-DD)
General-purpose computing also on a graphics processing unit (GPGPU)
Spam filtering email classification (SFECM)
Deep Neural Networks (DNNs) and multi criteria decision making
Elman neural network and EMSR-LSSVM hybrid
Fuzzy C-meansalgorithm also with gravitational search algorithm
Ant colony particle swarmalgorithm(ACO-MPSO)
K-Means based on SA-PSO (simulated annealing (SA) algorithm and also particle swarm optimization (PSO) algorithm)
SVD-based hybrid pattern search (SHPS)
Particle Swarm Stepwise algorithm (PaSS)

Latest Theories in Data-Mining

Sampling methods
Bayesian learning
Strategy
Data mining systems
Case-based reasoning
Clustering
Capability indices
Reasoning
Classification
Recommendation
Similarity- based
Conception learning
Similarity measures
Statistical learning
Novelty and Deviation
Detection Control Charts
Inductive learning
Experimentation

Recent Research Topics

Hybrid algorithm of data mining technique with the usage of anomaly detection approach
Decision trees in stationary data streams also using new splitting criteria
Associate rules from time series application to business and also financial using adaptive time series forecasting model
Sensor data correlation mining also with usage of hybrid gene expression programming
Big data outlier detection from electric power SCADA system using hybrid approach
Virtual view synthesis GPGPU also with accelerating image domain warping
Gain and graph mining algorithm also with usage of spam filtering email classification
Hybrid method also using distributed document clustering
Cyber physical systems also using local similarity imputation based on fast clustering for incomplete
MapReduce framework also with usage of hybrid data mining algorithm in cloud computing
User navigation pattern prediction also using improvised hybrid model
Fast mining frequent item sets also using effective hybrid algorithm
Data mining also using high performance computing framework
Shared nearest neighbour clustering also using scalable parallel algorithms
Frequent pattern mining also based on bloom filter for knowledge management framework for imbalanced

We also hope that the aforesaid key information makes you innovative and trendy for Data Mining. We are also here to support various services, including the research proposal, assignments, paper writing, and paper publication. To know more about our services and also offers to contact us through mail or call.