A novel method of symbolic representation in diving data mining: A case study of highways in China

2018 ◽  
Vol 30 (24) ◽  
pp. e4976 ◽  
Author(s):  
Chuan Sun ◽  
Wei Liu ◽  
Duanfeng Chu ◽  
Wushuang Li ◽  
Zhenji Lu ◽  
...  
Keyword(s):  
Data Mining ◽  
Symbolic Representation ◽  
Novel Method

scholarly journals A novel method of symbolic representation in diving data mining: A case study of highways in China

2018 ◽  
pp. e5115
Author(s):  
Chuan Sun ◽  
Wei Liu ◽  
Duanfeng Chu ◽  
Wushuang Li ◽  
Zhenji Lu ◽  
...  
Keyword(s):  
Data Mining ◽  
Symbolic Representation ◽  
Novel Method

A novel method for the determination of linting propensity of paper

TAPPI Journal ◽  
2012 ◽  
Vol 11 (10) ◽  
pp. 9-17
Author(s):  
ALESSANDRA GERLI ◽  
LEENDERT C. EIGENBROOD
Keyword(s):  
Ash Content ◽  
The Novel ◽  
Offset Printing ◽  
Excellent Correlation ◽  
End Conditions ◽  
Bottom Side ◽  
Novel Method ◽  
Total Fraction

A novel method was developed for the determination of linting propensity of paper based on printing with an IGT printability tester and image analysis of the printed strips. On average, the total fraction of the surface removed as lint during printing is 0.01%-0.1%. This value is lower than those reported in most laboratory printing tests, and more representative of commercial offset printing applications. Newsprint paper produced on a roll/blade former machine was evaluated for linting propensity using the novel method and also printed on a commercial coldset offset press. Laboratory and commercial printing results matched well, showing that linting was higher for the bottom side of paper than for the top side, and that linting could be reduced on both sides by application of a dry-strength additive. In a second case study, varying wet-end conditions were used on a hybrid former machine to produce four paper reels, with the goal of matching the low linting propensity of the paper produced on a machine with gap former configuration. We found that the retention program, by improving fiber fines retention, substantially reduced the linting propensity of the paper produced on the hybrid former machine. The papers were also printed on a commercial coldset offset press. An excellent correlation was found between the total lint area removed from the bottom side of the paper samples during laboratory printing and lint collected on halftone areas of the first upper printing unit after 45000 copies. Finally, the method was applied to determine the linting propensity of highly filled supercalendered paper produced on a hybrid former machine. In this case, the linting propensity of the bottom side of paper correlated with its ash content.

Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Microsoft Excel ◽  
Customer Data ◽  
Data Mining Techniques ◽  
C4.5 Algorithm ◽  
Marketing Costs ◽  
Excel Format ◽  
Data Mining Application

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future

Failure Analysis Case Study of a 1.5 Meter Space Flex Harness

2017 ◽  
Author(s):  
Erick Kim ◽  
Kamjou Mansour ◽  
Gil Garteiz ◽  
Javeck Verdugo ◽  
Ryan Ross ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Field Of View ◽  
Area Of Interest ◽  
Air Stream ◽  
Novel Method ◽  
Temperature Controlled ◽  
Non Destructive ◽  
Failure Site

Abstract This paper presents the failure analysis on a 1.5m flex harness for a space flight instrument that exhibited two failure modes: global isolation resistances between all adjacent traces measured tens of milliohm and lower resistance on the order of 1 kiloohm was observed on several pins. It shows a novel method using a temperature controlled air stream while monitoring isolation resistance to identify a general area of interest of a low isolation resistance failure. The paper explains how isolation resistance measurements were taken and details the steps taken in both destructive and non-destructive analyses. In theory, infrared hotspot could have been completed along the length of the flex harness to locate the failure site. However, with a field of view of approximately 5 x 5 cm, this technique would have been time prohibitive.

scholarly journals Artefacts, practices and pedagogies: teaching writing in English in the NAPLAN era

2021 ◽  
Author(s):  
Susanne Gannon ◽  
Jennifer Dove
Keyword(s):  
Secondary Schools ◽  
English Teachers ◽  
Teaching Writing ◽  
Pedagogical Practices ◽  
Deep Dive ◽  
Geographically Dispersed ◽  
English Classes ◽  
Novel Method ◽  
Teaching Of Writing

AbstractIn secondary schools, English teachers are often made responsible for writing results in national testing. Yet there have been few studies that focussed on this key group, or on how pedagogical practices have been impacted in the teaching of writing in their classrooms. This study investigated practices of English teachers in four secondary schools across different states, systems and regions. It developed a novel method of case study at a distance that required no classroom presence or school visits for the researchers and allowed a multi-sited and geographically dispersed design. Teachers were invited to select classroom artefacts pertaining to the teaching of writing in their English classes, compile individualised e-portfolios and reflect on these items in writing and in digitally conducted interviews, as well as elaborating on their broader philosophies and feelings about the teaching of writing. Despite and sometimes because of NAPLAN, these teachers held strong views on explicit teaching of elements of writing, but approached these in different ways. The artefacts that they created animated their teaching practices, connected them to their students and their subject, suggested both the pressure of externally driven homogenising approaches to writing and the creative individualised responses of skilled teachers within their unique contexts. In addition to providing granular detail about pedagogical practices in the teaching of writing in the NAPLAN era, the contribution of this paper lies in its methodological adaptation of case study at a distance through teacher-curated artefact portfolios that enabled a deep dive into individual teachers’ practices.

Agent-Enriched Data Mining: A Case Study in Brain Informatics

2009 ◽  
Vol 24 (3) ◽  
pp. 38-45 ◽  
Author(s):  
Ning Zhong ◽  
Shinichi Motomura
Keyword(s):  
Data Mining
Sign in / Sign up

Export Citation Format

Share Document