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Research Directions for Engineering Big Data Analytics Software

https://doi.org/10.1109/mis.2014.76

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Testing and validating machine learning classifiers by metamorphic testing

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Detecting Recurring and Novel Classes in Concept-Drifting Data Streams

inferredcites →https://doi.org/10.1109/mc.2009.373openalex-snapshot

A Roadmap for Comprehensive Requirements Modeling

inferredcites →https://doi.org/10.1109/mic.2011.112openalex-snapshot

Adversarial Machine Learning

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From Databases to Big Data

inferredcites →https://doi.org/10.1109/mic.2013.10openalex-snapshot

Finding the Needle in the Big Data Systems Haystack

inferredcites →https://doi.org/10.1109/mis.2012.6openalex-snapshot

Using Social Media to Enhance Emergency Situation Awareness

inferredcites →https://doi.org/10.1109/mis.2013.39openalex-snapshot

Artificial Intelligence and Big Data

inferredcites →https://doi.org/10.1109/mnet.2014.6863131openalex-snapshot

Toward efficient and privacy-preserving computing in big data era

inferredcites →https://doi.org/10.1109/ms.2012.96openalex-snapshot

Social and Community Intelligence: Technologies and Trends

inferredcites →https://doi.org/10.1109/ms.2013.10openalex-snapshot

Monitoring Our Requirements

inferredcites →https://doi.org/10.1109/ms.2013.76openalex-snapshot

Getting an Intuition for Big Data

inferredcites →https://doi.org/10.1109/tkde.2010.32openalex-snapshot

Domain-Driven Data Mining: Challenges and Prospects

inferredcites →https://doi.org/10.1109/tkde.2010.61openalex-snapshot

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

inferredcites →https://doi.org/10.1145/1536616.1536632openalex-snapshot

The pathologies of big data

inferredcites →https://doi.org/10.1145/2046684.2046692openalex-snapshot

Adversarial machine learning

inferredcites →https://doi.org/10.1145/2428556.2428570openalex-snapshot

Hazy

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A survey on concept drift adaptation

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MAD skills

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Business Intelligence and Analytics: From Big Data to Big Impact

inferredcites →https://doi.org/10.5555/1756006.1859903openalex-snapshot

MOA: Massive Online Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Big Data Analytics for Semiconductor Manufacturing

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Feasibility Study of Software Engineering Aspects of Bigdata Analytics Applications for Academicians

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Big Data and software engineering: prospects for mutual enrichment

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Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review

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Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications

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Audio-Visual Multimedia Quality Assessment: A Comprehensive Survey

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How Do API Selections Affect the Runtime Performance of Data Analytics Tasks?

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Towards a requirements engineering artefact model in the context of big data software development projects: Research in progress

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Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case Study

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Development of an Effective Safety Assessment Capable of Measuring the Safety of AI-Based Systems.

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Content-Aware Partial Compression for Textual Big Data Analysis in Hadoop

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Metamorphic Testing

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Understanding performance concerns in the API documentation of data science libraries

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Combining spark and snort technologies for detection of network attacks and anomalies

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Big Data Systems

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Speeding Up Data Manipulation Tasks with Alternative Implementations

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New visions on metamorphic testing after a quarter of a century of inception

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Secured Storage of Big Data in Cloud

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BIG DATA IN CIVIL ENGINEERING: A STATE-OF-THE-ART SURVEY

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Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review

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Metamorphic testing for Adobe data analytics software

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Additional file 1 of Anesthesia decision analysis using a cloud-based big data platform

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Additional file 2 of Anesthesia decision analysis using a cloud-based big data platform

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Additional file 3 of Anesthesia decision analysis using a cloud-based big data platform

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