Big Data in the construction industry: A review of present status, opportunities, and future trends
The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
Big data preprocessing: methods and prospects
The massive growth in the scale of data has been observed in recent years being a key
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …
[图书][B] Learning from imbalanced data sets
Learning with imbalanced data refers to the scenario in which the amounts of instances that
represent the concepts in a given problem follow a different distribution. The main issue …
represent the concepts in a given problem follow a different distribution. The main issue …
Big data for cyber physical systems in industry 4.0: a survey
With the technology development in cyber physical systems and big data, there are huge
potential to apply them to achieve personalization and improve resource efficiency in …
potential to apply them to achieve personalization and improve resource efficiency in …
A survey of data partitioning and sampling methods to support big data analysis
Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …
for big data processing and analysis. In cluster computing, data partitioning and sampling …
A survey on network methodologies for real-time analytics of massive IoT data and open research issues
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …
Structural health monitoring framework based on Internet of Things: A survey
Internet of Things (IoT) has recently received a great attention due to its potential and
capacity to be integrated into any complex system. As a result of rapid development of …
capacity to be integrated into any complex system. As a result of rapid development of …
[PDF][PDF] Comparison of naive bayes, random forest, decision tree, support vector machines, and logistic regression classifiers for text reviews classification
T Pranckevičius, V Marcinkevičius - Baltic Journal of Modern Computing, 2017 - bjmc.lu.lv
Today, a largely scalable computing environment provides a possibility of carrying out
various data-intensive natural language processing and machine-learning tasks. One of …
various data-intensive natural language processing and machine-learning tasks. One of …
Big data analytics on Apache Spark
Apache Spark has emerged as the de facto framework for big data analytics with its
advanced in-memory programming model and upper-level libraries for scalable machine …
advanced in-memory programming model and upper-level libraries for scalable machine …
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
Abstract The k-Nearest Neighbors classifier is a simple yet effective widely renowned
method in data mining. The actual application of this model in the big data domain is not …
method in data mining. The actual application of this model in the big data domain is not …