Results 31 to 40 of about 2,906 (182)

Sentiment Analysis of Social Networking Data Using Categorized Dictionary [PDF]

Journal of Information Technology Management, 2020
Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task.
Akansha Singh, Aastha Sharma, Krishna Singh, Anuradha Dhull   +3 more
doaj   +1 more source

Hadoop Technology

International Journal of Scientific Research in Science, Engineering and Technology, 2022
'Big Data 'describes and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order
null Yash Patel, null Prof. Manish Joshi
openaire   +1 more source

Reflections on the Future of Statistics Education in a Technological Era

Teaching Statistics, EarlyView.
ABSTRACT Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate relevant technologies into the statistical curriculum where possible.
Craig Alexander, Jennifer Gaskell, Vinny Davies   +2 more
wiley   +1 more source

Beyond Batch Processing: Towards Real-Time and Streaming Big Data

Computers, 2014
Today, big data are generated from many sources, and there is a huge demand for storing, managing, processing, and querying on big data. The MapReduce model and its counterpart open source implementation Hadoop, has proven itself as the de facto solution
Saeed Shahrivari
doaj   +1 more source

Hadoop Cluster Deployment: A Methodological Approach

Information, 2018
For a long time, data has been treated as a general problem because it just represents fractions of an event without any relevant purpose. However, the last decade has been just about information and how to get it.
Ronaldo Celso Messias Correia, Gabriel Spadon, Pedro Henrique De Andrade Gomes, Danilo Medeiros Eler, Rogério Eduardo Garcia, Celso Olivete Junior   +5 more
doaj   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Market‐Driving Capability: An Empirical Study on Antecedents and Consequences

British Journal of Management, Volume 37, Issue 3, July 2026.
Abstract What enables market‐driving behaviour, and is it a worthwhile business strategy? This fundamental question intrigues both managers in firms and researchers in marketing and strategic management, yet surprisingly, it remains underexplored. To this end, we assess the antecedents and consequences of market‐driving capability.
Owais Khan, Andreas Hinterhuber, Anthony Di Benedetto   +2 more
wiley   +1 more source

Hadoop Configuration Tuning With Ensemble Modeling and Metaheuristic Optimization

IEEE Access, 2018
MapReduce is a popular programming model for big data processing. Although the distributed processing framework Hadoop greatly reduced the development complexity of MapReduce applications, fine tuning of the Hadoop systems for optimal performance remains
Xingcheng Hua, Michael C. Huang, Peng Liu   +2 more
doaj   +1 more source

Research on Advanced Streaming Processing on Apache Spark [PDF]

International Journal of Industrial Engineering and Production Research, 2021
The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications.
A.K.V.K Sasikanthr, K. Samatha, N. Deshai, B.V.D.S Sekhar, S. Venkatramana   +4 more
doaj  

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source