BigData Hadoop Projects and training for Engineering Students in Bangalore, BigData Hadoop cse projects 2018-2019

At TECHNOFIST we provide academic projects based on Bigdata with latest IEEE papers implementation. Below mentioned are the 2018 list and abstracts on Bigdata domain. For synopsis and IEEE papers please visit our head office and get registered.

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IEEE 2018-2019 BIG DATA/HADOOP BASED PROJECTS

We present real-time IEEE Big Data projects for computer science and information science engineering students with high-quality explanation, guidance, and implementation. This section consists of projects related to Big Data 2018-2019 IEEE project list.

Latest Big Data topics, Latest Big Data Concepts for Diploma, Latest Big Data Concepts for Engineering.

FINAL YEAR PROJECT LIST

BIG DATA-HADOOP PROJECT ABSTRACT

++IEEE 2018-2019 bigdata (hadoop) project list on java based for MTech /BE / BTech / MCA / M.sc students in bangalore.++

ID	Project Title and Abstract
TBD001	SOCIALQ&A: An online social network based question and answer system. Abstract – Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Contact: +91-9008001602 080-40969981
TBD002	PRIVACY-PRESERVING DATA ENCRYPTION STRATEGY FOR BIG DATA IN MOBILE CLOUD COMPUTING. Abstract – Privacy has become a considerable issue with the rapid growth of big data applications in cloud computing. Contact: +91-9008001602 080-40969981
TBD003	EFFICIENT PROCESSING OF SKYLINE QUERIES USING MAPREDUCE. Abstract – The skyline operator has attracted considerable attention due to its broad applications. Contact: +91-9008001602 080-40969981
TBD004	FIDOOP-DP: DATA PARTITIONING IN FREQUENT ITEMSET MINING ON HADOOP CLUSTERS. Abstract – We address a serious performance problem of existing parallel Frequent Itemset Mining algorithms. Contact: +91-9008001602 080-40969981
TBD005	USER-CENTRIC SIMILARITY SEARCH. Abstract – User preferences play a significant role in market analysis. Contact: +91-9008001602 080-40969981
TBD006	PRACTICAL PRIVACY-PRESERVING MAPREDUCE BASED K-MEANS CLUSTERING OVER LARGE-SCALE DATASET. Abstract – Clustering techniques have been widely adopted in real-world applications. Contact: +91-9008001602 080-40969981
TBD007	SECURE BIG DATA STORAGE AND SHARING SCHEME FOR CLOUD TENANTS. Abstract – The Cloud is increasingly being used to store and process big data. Contact: +91-9008001602 080-40969981
TBD008	SENTIMENT ANALYSIS OF TOP COLLEGES USING TWITTER DATA. Abstract – This paper dives into performing sentiment analysis of opinions regarding top colleges in India. Contact: +91-9008001602 080-40969981
TBD009	ON TRAFFIC-AWARE PARTITION AND AGGREGATION IN MAPREDUCE FOR BIG DATA APPLICATIONS. Abstract – We study to reduce network traffic cost for a MapReduce job by designing a novel intermediate data partition scheme. Contact: +91-9008001602 080-40969981
TBD010	A PARALLEL PATIENT TREATMENT TIME PREDICTION ALGORITHM AND ITS APPLICATIONS IN HOSPITAL QUEUING-RECOMMENDATION IN A BIG DATA ENVIRONMENT. Abstract – We propose a Patient Treatment Time Prediction (PTTP) algorithm to predict the waiting time for each treatment task for a patient. Contact: +91-9008001602 080-40969981
TBD011	PROTECTION OF BIG DATA PRIVACY ENCRYPTED CLOUD DATA. Abstract – This paper provides a comprehensive overview of the privacy preservation mechanisms in big data. Contact: +91-9008001602 080-40969981
TBD012	NETSPAM: A NETWORK-BASED SPAM DETECTION FRAMEWORK FOR REVIEWS IN ONLINE SOCIAL MEDIA. Abstract – This study proposes a framework, named NetSpam, to identify spam reviews in social media. Contact: +91-9008001602 080-40969981
TBD013	EFFICIENT RECOMMENDATION OF DE-IDENTIFICATION POLICIES USING MAPREDUCE. Abstract – We tackle re-identification risks by recommending effective de-identification policies. Contact: +91-9008001602 080-40969981
TBD014	A SECURE AND VERIFIABLE ACCESS CONTROL SCHEME FOR BIG DATA STORAGE IN CLOUDS. Abstract – We address challenges in verifying access legitimacy and updating ciphertexts in cloud big data storage. Contact: +91-9008001602 080-40969981

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Technofist provides latest IEEE 2018 — 2019 Bigdata Projects for final year engineering students in Bangalore | India, Bigdata Based Projects with latest concepts are available for final year ECE / EEE / CSE / ISE / telecom students.

ABOUT HADOOP

Hadoop is an open-source framework that allows storing and processing big data in a distributed environment across clusters of computers using simple programming models.

Hadoop framework includes the following Modules:

• Hadoop MapReduce
• Hadoop Distributed File System (HDFS™)

Advantages of Hadoop

• Efficiently writes and tests distributed systems.
• Automatically distributes data and work across machines.
• Can dynamically add or remove servers without interruption.
• Java-based and compatible across all platforms.

Features of Hadoop

• Suitable for distributed storage and processing.
• Provides a command interface to interact with HDFS.
• Allows users to check the status of the cluster.
• Provides streaming access to file system data.
• Ensures file permissions and authentication.