Final Year Mini Big Data Projects Kakinada
|1||A survey of data partitioning and sampling methods to support big data analysis||BIGDATA|
|2||Data Factory: An Efficient Data Analysis Solution in the Era of Big Data||BIGDATA|
|3||The Real-time Big Data Processing Method Based on LSTM for the Intelligent Workshop Production Process||BIGDATA|
|4||Mining conditional functional dependency rules on big data||BIGDATA|
|5||Big Data Pipeline with ML-Based and Crowd Sourced Dynamically Created and Maintained Columnar Data Warehouse for Structured and Unstructured Big Data||BIGDATA|
|6||The Workload Assessment of National Grid Big Data Projects Based on Content Recommendations and Text Classification||BIGDATA|
|7||Effective Garbage Data Filtering Algorithm for SNS Big Data Processing by Machine Learning||BIGDATA|
|8||A Big Data Provenance Model for Data Security Supervision Based on PROV-DM Model||BIGDATA|
|9||The Impact of Big Data In Healthcare Analytics||BIGDATA|
|10||A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud||BIGDATA|
|11||Research on Intelligent Security Protection of Privacy Data in Government Cyberspace||BIGDATA|
|12||Redundancy Avoidance for Big Data in Data Centers: A Conventional Neural Network Approach||BIGDATA|
|13||Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data||BIGDATA|
|14||MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme||BIGDATA|
|15||Big Data Oriented Mining and Implementation Analysis for Online Education Information||BIGDATA|
|16||A Novel Approach for Big Data Classification and Transportation in Rail Networks||BIGDATA|
|17||Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing||BIGDATA|
|18||Network Traffic Analysis using Big Data and Deep Learning Techniques||BIGDATA|
|19||Resolving Data De-Duplication issues on Cloud||BIGDATA|
|20||DCAuth: Data-Centric Authentication for Secure In-Network Big-Data Retrieval||BIGDATA|
|21||Research on Automatic Search of Internet of Things in Big Data Era Based on Merge Sorting Method||BIGDATA|
|22||Ensemble Framework for Big Data Stream Mining||BIGDATA|
|23||Controllable Correlation Big Data Dynamic Prediction Model for Mobile Communication||BIGDATA|
|24||Public Opinion Detection in an Online Lending Forum: Sentiment Analysis and Data Visualization||BIGDATA|
|25||Analyzing of Personalized Recommendation Model of Social Network Users Based on Big Data||BIGDATA|
|26||Distributed Feature Selection for Big Data Using Fuzzy Rough Sets||BIGDATA|
|27||Design of College Students' Physical Health Monitoring System Based on Big Data Platform||BIGDATA|
|28||Flood Forecasting System Based on Integrated Big and Crowdsource Data by Using Machine Learning Techniques||BIGDATA|
|29||An Unsupervised Embedding Learning Feature Representation Scheme for Network Big Data Analysis||BIGDATA|
|30||Secure Data Sharing and Search for Cloud-Edge-Collaborative Storage||BIGDATA|
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Cloud computing is a type of technology that uses the internet to provide clients with a variety of services. It gives you access to a wide range of technological resources, including storage, servers, and much more. It enables you to store data in huge quantities and in the quantities required so that you can recover data in the case of a system crash, server crash, or other unforeseen incident. Python has capabilities that can assist you in developing applications, so it can be utilized in SaaS, IaaS, and PaaS development. Whatever requirement we have, it is capable of helping us in our businesses by developing applications from remote locations or in helping different businesses to exchange data with others. Now that you have understood the applications of python, do not wait further, and choose from our b tech academic CSE mini python projects.
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