Critical analysis of Big Data challenges and analytical methods
Explore this paper's citation graph
Summary
The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA in technology and organizational resource management discipline.
- Type
- article
- Published
- 2017-01-01
- Cited by
- 1,802
- References
- 304
- Access
- Open access
- OpenAlex
- https://openalex.org/W2487200295
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55186354
Keywords
Extant taxon, Big data, Process (computing), Software deployment, Data science
References
- Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models
- Competing on Analytics: The New Science of Winning
- IT Savvy: What Top Executives Must Know to Go from Pain to Gain
- Tutorial: Big Data Analytics: Concepts, Technologies, and Applications
- Enhancing ETL Performance with Warehouse Builder
- SoCoMo marketing for travel and tourism: Empowering co-creation of value
- Locality and loading aware virtual machine mapping techniques for optimizing communications in MapReduce applications
- ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem
- There's gold to be mined from all our data
- Soft computing in big data intelligent transportation systems
- Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks
- Estimating online vacancies in real-time road traffic monitoring with traffic sensor data stream
- Constrained pattern mining in the new era
- CRITICAL QUESTIONS FOR BIG DATA
- Sensing as a Service and Big Data
- Toward an Architecture for Never-Ending Language Learning
- On a meaningful exploitation of machine and human reasoning to tackle data-intensive decision making
- Active Data: A programming model to manage data life cycle across heterogeneous systems and infrastructures
- Proceedings of the 32nd international conference on Very large data bases
- Big data analytics: The case of the social security administration
Cited by
- Automatic data selection for validation: A method to determine cetacean occurrence in large acoustic data sets.
- Development of a new framework for Distributed Processing of Geospatial Big Data
- Evaluation of urban transport policy: Development of an approach to express and measure policy goals in traffic networks in Dutch cities
- An Approach to Data Analysis in 5G Networks
- Identity Deception Detection on Social Media Platforms
- Design of intelligent k-means based on spark for big data clustering
- Risks and rewards of cloud computing in the UK public sector: A reflection on three Organisational case studies
- Contractor Selection for Construction Projects Using Consensus Tools and Big Data
- Let's stop trying to be "sexy" - preparing managers for the (big) data-driven business era
- Opportunities for and Pitfalls of Using Big Data in Advertising Research
- Prioritizing and Ranking the Big Data Information Security Risk Spectrum
- Can Big Data Analysis Make Cities Smarter? Emerging Issues and Stakeholder Implications in Smart Mobility
- Strategies and Influencing Factors for Big Data Exploration
- A multidisciplinary perspective of big data in management research
- A review: Information extraction techniques from research papers
- Industrial Big Data for Fault Diagnosis: Taxonomy, Review, and Applications
- Big data analytics for transport systems to achieve environmental sustainability
- Big Data Analytics: A Preliminary Study of Open Source Platforms
- Effects of User IT Capabilities and Organized Big Data Analytics on Competitive Advantage
- Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs
Related papers
- Big Data Analytics Solutions and Challenges
- Big Data Analytics Using Cloud and Crowd
- An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining
- BigData Analytics Techniques to Obtain Valuable Knowledge
- A Survey on Big Data Analytics Model
- A Big Data Learning Platform for the West Balkans and Beyond