Results 21 to 30 of about 12,223 (205)
Recognizing Indonesian Acronym and Expansion Pairs with Supervised Learning and MapReduce
During the previous decades, intelligent identification of acronym and expansion pairs from a large corpus has garnered considerable research attention, particularly in the fields of text mining, entity extraction, and information retrieval.
Taufik Fuadi Abidin +4 more
doaj +1 more source
Enhanced Failure Detection Mechanism in MapReduce [PDF]
The popularity of MapReduce programming model has increased interest in the research community for its improvement. Among the other directions, the point of fault tolerance, concretely the failure detection issue seems to be a crucial one, but that until
Pérez-Hernández, Mar'Ia S. +6 more
core +1 more source
Comparative Study Parallel Join Algorithms for MapReduce environment
There are the following techniques that are used to analyze massive amounts of data: MapReduce paradigm, parallel DBMSs, column-wise store, and various combinations of these approaches. We focus in a MapReduce environment.
A. Yu. Pigul
doaj +1 more source
Collaborative Mappers based on Co-evolutionary Optimization Technique in MapReduce
MapReduce algorithm inspired by the map and reduces functions commonly used in functional programming. The use of this model is more beneficial when optimization of the distributed mappers in the MapReduce framework comes into the account.
Mohammad Reza Ahmadi, Davood Maleki
doaj
Big Data Analytics in Online Structural Health Monitoring
This manuscript explores the application of big data analytics in online structural health monitoring. As smart sensor technology is making progress and low cost online monitoring is increasingly possible, large quantities of highly heterogeneous data ...
Guowei Cai, Sankaran Mahadevan
doaj +1 more source
AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean important insights from massive amounts of data, and to use these insights to make better decisions. Underlying many of these innovations is a computational paradigm known as MapReduce, which enables computational processes to be scaled up to very large ...
openaire +1 more source
Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement.
Christian Sturm +2 more
doaj +1 more source
Big data cleaning modeling of operation status of coal mine fully—mechanized coal mining equipment
In view of problems of large amount of data and noise and missing values existed in data of operation status of coal mine fully—mechanized coal mining equipment, a big data cleaning model of operation status of coal mine fully—mechanized coal mining ...
MA Hongwei +4 more
doaj +1 more source
A Bibliometric Analysis of Process Mining
Process mining studies with numbers. ABSTRACT Process mining (PM) has emerged as a pivotal discipline in data science, bridging traditional process analysis with data‐driven techniques to extract actionable insights from event logs. This study conducts a comprehensive bibliometric analysis of 1764 peer‐reviewed articles from the Web of Science database
Seyfullah Tokumaci +2 more
wiley +1 more source
Evaluating MapReduce for seismic data processing using a practical application
Huge amounts of seismic data undergo complex iterative processing in the oil industry to get knowledge of the earth’s subsurface structure to detect where oil can be found and recovered.To evaluate the suitability of MapReduce for seismic processing ...
Chang-hai ZHAO +4 more
doaj +2 more sources

