[PDF] Dependable real-time data mining | Semantic Scholar
The need for real-time data mining for many applications in government and industry and resulting research issues are discussed and dependability issues including incorporating security, …
Enabling Real-Time Business Intelligence by Stream Data Mining
PDF | On Jan 21, 2011, Simon Fong and others published Enabling Real-Time Business Intelligence by Stream Data Mining | Find, read and cite all the research you need on …
Real-World Data Mining
how to use data mining and analytics to uncover hidden patterns and correlations, and explains how to leverage these to improve decision-making. The author delivers the right amount of …
Mining Fleet Management System in Real-Time "State of …
The objective of this paper is to understand real-time fleet management problems, its characteristics, and resolution approaches, examine the models and algorithms of existing …
Data mining techniques and applications — A decade review
Data mining techniques convert bulk data sets into valuable structures for future use (Chakrabarti et al., 2014; Madni et al., 2017), that is, data are not the result of the …
(PDF) Real-time mining – Moving towards continuous process management
The framework includes a real-time feedback control loop that rapidly links online data acquired during extraction at the mining face, during material handling and processing …
REAL TIME DATA MINING
This real time data mining is the future of predictive modelling. The main purpose of the book is to enable you, the reader, to intelligently apply real time data mining to your own data. ...
Data Mining in the Real World: Experiences, Challenges, …
Abstract - Data mining is used regularly in a variety of in-dustries and is continuing to gain in both popularity and ac-ceptance. However, applying data mining methods to complex real-world …
Lesson 6 Real-time Analytics
Real-time analytics • Refers to finding meaningful patterns in data at the actual time of receiving • Real-Time Analytics Platform (RTAP) analyses the data, correlates, and
(PDF) Data-Mining-Based Real-Time Optimization of the …
Data-Mining-Based Real-T ime Optimization of the Job Shop Scheduling Problem Anran Zhao, Peng Liu *, Xiyu Gao, Guotai Huang, Xiuguang Yang, Y uan Ma, Zheyu Xie and …
[PDF] Mining Big Data in Real Time | Semantic Scholar
This paper will discuss future trends of data mining that are used for analysis and prediction of Big data, and challenges while performing mining on Big data.
(PDF) Real-Time Detection of Fraudulent Transactions in …
For real tome fraud detection we are using Naïve Bayes classification algorithm [10].data mining techniques are successfully used in banking sectors for fraud detection, credit …
Dependable Real-time Data Mining
Data mining is the process of posing various queries and extracting useful and often previously unknown and unexpected information, patterns, and trends from large quantities of …
Real Time Data Mining: | Guide books | ACM Digital Library
Upgrading conventional data mining to real time data mining is through the use of a method termed the Real Time Learning Machine or RTLM. The use of the RTLM with conventional …
Real-time Knowledge Discovery and Dissemination for …
investigation on real-time and data stream mining for multidimensional analysis, classification and cluster analysis. In this paper we will discuss some aspects of real-time and data stream …
(PDF) Research on real-time network data mining technology for big data
Download full-text PDF Read full-text. Download full-text PDF. Read full-text ... A real-time web data mining model is proposed based on high order spectral feature fuzzy …
(PDF) Improve the Drilling Operations Efficiency by the Big Data Mining …
Today's data is tomorrow's oil and gas. Only the data can tell us right or wrong, but not the experience or feel. The real-time logging data conforms to the 6V features of the Big …
(PDF) Dependable Real-Time Data Mining
Download Free PDF. Download Free PDF ... Dependable Real-Time Data Mining. L. Khan. 2005, Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing …
Multiple dispatching rules allocation in real time using data mining
In production planning and scheduling, data mining methods can be applied to transform the scheduling data into useful knowledge that can be used to improve …
(PDF) Artificial Intelligence in Data Mining and Big Data
Data mining and big data could be a new and chop-chop growing field. It attracts ideas and resources multiple disciplines, together with machine learning, statistics, information …
A real-time data mining framework for adaptive lighting systems
PDF | An adaptive lighting system can operate in real-time by adjusting its output through a decision-making algorithm based on data mining techniques. | Find, read and cite all …
(PDF) Real-Time Data Processing
This event processing pipeline can be generalized to any use case in which data is collected from IoT sensors and analyzed in real-time to provide real-time alerts for operational …
Trajectory Data Mining and Trip Travel Time Prediction …
tionally efficient, making them suitable for real-time applica-tions. Young et al [22] tried to explain the reliability of this method. Scientists used this method to predict travel time on highways …
A Real-Time Twitter Data Mining Approach to Infer …
based on real-time monitoring of the Twitter feed. Once the framework is deployed for real-world applications, all these operations can be completed in real-time. If a user posts any tweet …
Real time data mining-based intrusion detection
Download Free PDF. Real time data mining-based intrusion detection. Wenke Lee. 2001. See full PDF download Download PDF. Related papers. Adaptive model generation: an architecture …
(PDF) Real-Time Methane Prediction in Underground Longwall Coal Mining
By collecting and analyzing on-site data, they established a predictive model that can monitor the safety status of coal mines in real-time and issue timely warning signals [8]. …
(PDF) Real Time Data Mining-based Intrusion Detection
PDF | In this paper, we present an overview of our research in real time data mining-based intrusion detection systems (IDSs). We focus on issues... | Find, read and cite all the …
(PDF) Real-Time Data Mining for Event Streams
data mining tasks, such as data preprocessing, classification, clustering, regression, visualization, and feature selection. WEKA 's algorithms can be used directly by …
Real Time Data Mining
The Real Time Data Mining covers the basic to advance levels of data mining concepts, with clear examples on how the concepts could be applied to toy problems. The …
(PDF) Data Analytics Applied to the Mining Industry
In this research, data analytics and machine learning were used to identify the performance metrics of loaders and haul trucks during mining operations. We used real-time …