Results 51 to 60 of about 54,414 (244)
A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop
Complex System Modeling and Simulation, 2023 High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big ...
Zaihe Cheng +3 more
doaj +1 more source
Parsing MetaMap Files in Hadoop [PDF]
, 2017 The UMLS::Association CUICollector module identifies UMLS Concept Unique Identifier bigrams and their frequencies in a biomedical text corpus. CUICollector was re-implemented in Hadoop MapReduce to improve algorithm speed, flexibility, and scalability ...
Cano, Alberto +2 more
core +1 more source
Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks
, 2017 Recently, due to rapid development of information and communication technologies, the data are created and consumed in the avalanche way. Distributed computing create preconditions for analyzing and processing such Big Data by distributing the ...
Alienin, Oleg +4 more
core +1 more source
Market‐Driving Capability: An Empirical Study on Antecedents and Consequences
British Journal of Management, EarlyView.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 +2 more
wiley +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 +5 more
doaj +1 more source
, 2016 Current market tendencies show the need of storing and processing rapidly growing amounts of data. Therefore, it implies the demand for distributed storage and data processing systems.
Kaluzka, Justyna
core +1 more source
Only Aggressive Elephants are Fast Elephants
, 2012 Yellow elephants are slow. A major reason is that they consume their inputs entirely before responding to an elephant rider's orders. Some clever riders have trained their yellow elephants to only consume parts of the inputs before responding.
Dittrich, Jens +5 more
core +1 more source
Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
Estimating runtime of a job in Hadoop MapReduce
Journal of Big Data, 2020 Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner. Since being aware of the runtime of a job is crucial to subsequent decisions of this platform and being better management,
Narges Peyravi, A. Moeini
semanticscholar +1 more source
Design of mobile disposal platform for emergency and joint defense based on Hadoop
Dianzi Jishu Yingyong, 2022 In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop,
Zhang Lizhi, Li Xuewen
doaj +1 more source