Project Topics on Data Mining can be more precisely called as a hub of unique and novel ideas for data mining projects. Our Data-Mining has started with an initiative of top experts from the world who wants to share their valuable information to the budding students to make their career sounding. Along with best and unique ideas for your project, we provide complete support for your project which includes complete documentation/thesis, presentation, journal publications and also conference support.

This is the reason why majority of scholars prefer us, as our guidance offers an all round support. Our standard and work quality has made us world’s no. 1 institute for research guidance and support. Give your hands to us; we will give our supportive hands to make your research also a ground breaking success.


    In Project Topics on Data Mining gives you an ease to select your project with your passion and Interest. Data-Mining is actually an analysis practice to identify the patterns and regularities available in the large set of data. Scholars can prefer this domain due to also its interdisciplinary nature and wide application.

We also never stick on static topics and existing issues, as it won’t give you the success, which you desire. Every student has their own individuality, which has to also focus to bring out the best in them. We also have a dynamic environment where our versatile developers and experts mingle together to provide a research platform for the budding students to make their life colorful. We have provided below, a short and compact description about data mining concepts, which will guide you also to choose your project topic.

Features of Data-Mining system:
  • Process large quantities of data
  • Incomplete and also imprecise data
  • Complex data structure
  • Conventional statistical approach cannot also used
  • Heterogeneous data storage also in legacy systems.
  • Analyzed using automated techniques
Steps followed in data-Mining with knowledge discovery process:
  • Data cleaning[Removal of noisy and also inconsistent data]
  • Data-Integration[Combination of multiple data sources]
  • Data Selection[Analysis of relevant data]
  • Data-Transformation[Consolidation and also transformation of data]
  • Data Mining[Use of intelligent methods also to extract pattern]
  • Pattern evaluation[Pattern identification]
Major Issue involved:
  • Handling incomplete data
  • Mining information from large databases
  • Handling of complex and also relational data types
  • Efficiency and scalability of data mining algorithms
  • Heterogeneous database-data mining techniques
Software’s and Tools Used:
  • GATE[Natural Language processing and language engineering tool]
  • Carrot2[Clustering framework for text and search result]
  • ELKI[Advanced clustering analysis method written in Java]
  • KNIME[Konstanz Information Miner- comprehensive data analytics framework]
  • ML-Flex[Software package to integrate with third party machine learning package]
  • MLPACK Library[Machine learning algorithms in C++ Language]
  • NLTK[Natural Language Toolkit]
  • OpenNN[Open neural networks library]
  • Massive Online Analysis[Real time big data stream mining concept]
  • Orange[Component based data mining and machine learning software]
  • R Programming[Programming language also for statistical computing, graphics and data mining]
  • Scikit learn[Open source machine learning library]
  • SCaViS[Java cross platform data analysis framework]
  • Torch[Open source deep learning library]
  • SenticNet API[For opinion mining and sentiment analysis]
  • UIMA[Unstructured Information Management Architecture]
  • RapidMiner[Used for machine learning and data mining]
  • Weka[Suite of machine learning software applications]
  • Oracle Data-Mining
  • NetOwl[for Multilingual text and also entity analytics]
 Major Applications of Data-Mining:
  • Web mining and also web content analysis
  • Weather prediction and also climate change studies
  • Social Data mining
  • Mining customer behavior also in Retail shop
  • Crime or fraud detection
  • Implementation of Enterprise Resource planning
  • Text Mining
  • Knowledge extraction also using decision tree
  • Data leakage detection also in cloud
  • Movie rating prediction
  • Social media mining
  • For commercial purpose and also Market basket analysis using Apriori algorithm
  • Security also in Web mining framework
  • Used in finance and banking, Tax governing, manufacturing and also marketing.
  • Used for security enhancement also using algorithms like
    • Botnet detection
    • Deep packet inspection
    • Web-attack detection
    • Web proxy log analysis
    • Algorithmic alert correlation
    • Host based threat detection
    • Intrusion detection and also network profiling
Recent Research topics in Data-Mining
  • The process of a Proactive Small Cell Interference Mitigation Strategy for Improving Spectral Efficiency of LTE Networks also in the Unlicensed Spectrum based on usICIC
  • A new technique Secure and also Robust Multi-Constrained QoS Aware Routing Algorithm for VANETs
  • The new process of the distance-assisted also used for the research and optimization of AD-Hoc network localization algorithm
  • An efficient usage of MANET also for remote pastoral areas of Tibet to perform Integrated wireless communication system
  • An efficient mechanism distributed mobile cloud computing model also for secure big data
  •  A User Experience Oriented Middleware for Mobile Cloud Computing also based on Context Aware Mobile Cloud Services

   Using our topics on Data-mining, you can explore the field of research due to it’s the novelty and originality it reflects. You can clear your doubts further by having a session with our top experts, who are the best source of research guidance.