Big data stream analysis: a systematic literature review
نویسندگان
چکیده
منابع مشابه
Network Big Data: A Literature Survey on Stream Data Mining
With the rapid development of Internet, the internet of things and other information technology, big data usually exists in cyberspace as the form of the data stream. It brings great benefits for information society. Meanwhile, it also brings crucial challenges on big data mining in the data stream. Recently, academic and industrial communities have a widespread concern on massive data mining p...
متن کاملBig Data Technology Literature Review
Storing and manipulating Big Data relies on various data structures, algorithms and technologies. Some of these are new, while others have existed for quite a while (the Bloom filter was presented in 1970) and are now making their way into mainstream software engineering. We present those algorithms and technologies briefly, and provide citations for further reading. This paper is organized as ...
متن کاملEmpirical Big Data Research: A Systematic Literature Mapping
Background: Big Data is a relatively new field of research and technology, and literature reports a wide variety of concepts labeled with Big Data. The maturity of a research field can be measured in the number of publications containing empirical results. In this paper we present the current status of empirical research in Big Data. Method: We employed a systematic mapping method with which we...
متن کاملIn-Stream Big Data Processing
The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that realtime query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, A...
متن کاملBig Data Analytics-Enabled Supply Chain Transformation: A Literature Review
Despite the rising potential of big data, a few studies have been conducted to examine it in the supply chain field. This article gives an overview of big data use in this field and underlines its potential role in the supply chain transformation by leading a systematic literature review. The results show that the big data analytics techniques can be categorized into three types: descriptive, p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2019
ISSN: 2196-1115
DOI: 10.1186/s40537-019-0210-7