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Data mining on information system
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The paper discusses how the traditional method of association rule mining based on user-defi ned minimum support and confi dence can result in either too many or too few association rules. This could lead to valuable information being missed or redundant rules being generated, which is not practical and can be costly to implement.
7p
vijaychest
24-04-2024
3
2
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The main purpose of the current paper is to examine impact of information system, supplier integration and transformational leadership on supply chain performance. Moreover, mediating role of trust is examined as well. For the present research study, the data was gathered from the employees of mining industry of Indonesia.
8p
longtimenosee07
29-03-2024
4
2
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Ebook "Bioinformatics: Applications in life and environmental sciences" is aiming to provide information on bioinformatics at various levels. The chapters included in this book cover introductory to advanced aspects, including applications of various documented research work and specific case studies related to bioinformatics.
254p
tachieuhoa
28-01-2024
5
2
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"Application of Combination Law to the Data of National High School Examinations in Supporting Association Consultancy" set may lack of valuable information or generate redundant rules which is often not worth in real case, cost a lot of resources and real costs. This paper focuses on studying the algorithm of mining top-k nonredundant association rules and applying this algorithms to mining data of the National High School Exams in previous years.
6p
lieuyeuyeu18
23-12-2022
9
4
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The data of education and training system, which have been and are being gathered, are implicit for allowing the use of OLAP and Data Mining. In order to implement these applications, it is needed to construct a data warehouse. Based on that foundation, we will quickly and effectively have much of useful information in study, statistics and discovery. This information will be used to advise and help Managers in decision making. In our report, the implementation of a data warehouse for a pedagogic university and its effects in education are presented.
5p
thienlangso
15-12-2021
12
2
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This study aims to describe the association between sharp score and clinical indexes, bone metabolism indexes, Disease Activity Score (DAS28) and sociodemographic factors in rheumatoid arthritis (RA). Data were collected from the HIS (hospital information system), a national inpatient database in China, with information on the patients hospitalized during the period from 2012 to 2019. The association between sharp score and effective factors were identifed using multinomial logistic regression and association rule mining (ARM).
8p
vimackenziebezos
30-11-2021
10
1
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Cancer constitutes a momentous health burden in our society. Critical information on cancer may be hidden in its signaling pathways. However, even though a large amount of money has been spent on cancer research, some critical information on cancer-related signaling pathways still remains elusive.
13p
viconnecticut2711
29-10-2020
9
1
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In addition to traditional exploiting information methods, researchers have developed attribute reduction methods to reduce the size of the data space and eliminate irrelevant attributes. Our attribute reduction is based on the dependence between attributes in traditional rough set theory and in fuzzy rough set. The author built the tool which is inclusion degree and tolerance-based contingency table to solve the problem of finding the approximation set on set-valued information systems.
7p
mangamanga
29-02-2020
25
0
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Human resource managers are confronted with the problem that they have to fulfil the enterprise’s competence needs either by developing their current staff or by recruiting new employees. In both cases decisions about who to select for the new position and more often which competences are crucial for the future success. This is especially true for highly dynamic industries like the IT industry. This article presents our work from the KoPIWA project in the Digital Economy.
21p
caygaocaolon1
12-11-2019
38
2
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Workflow management systems help to execute, monitor and manage work process flow and execution. These systems, as they are executing, keep a record of who does what and when (e.g. log of events). The activity of using computer software to examine these records, and deriving various structural data results is called workflow mining.
26p
caygaocaolon1
12-11-2019
21
1
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This paper describes three building blocks of a technological Knowledge Management (KM) system that provides all relevant and practical means of supporting KM and thus differentiates itself from existing KM tools in goal and approach, as they usually deal with a limited range only. The three blocks described within this paper are: a virtual information pool, which utilizes Enterprise Application Integration (EAI), a single and central user interface providing ubiquitous access, and mechanisms to enrich the available data, essentially based on Artificial Intelligence and Data Mining techniques.
12p
quenchua1
04-11-2019
16
1
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This paper present a new supply chain management information system based on measuring performance using dataming software. One of The most important part of this study lays in comparing the most common softwares, referring to many criterias. This study will help managers to take decisions and enhance supply chain in public administrations using the combination of information systems and dataming studies. The information system is based on a new approach using customer complaints.
6p
byphasse043256
23-03-2019
37
1
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The paper presents such an information system to extract the local viruses from international databases and provides certain utilities for research and non-research communities. The first of the paper presents an overview of data banks of flu virus in the world. The second part shows the methods of building the information system on the influenza virus. The final parts will present some results obtained and conclusion.
7p
girlsseek
27-02-2019
18
1
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Tài liệu Database System Concepts present on: Relational databases, database design, data storage and querying, transaction management, system architecture, data warehousing, data mining, and information retrieval,...
1376p
liemnguyen1996
14-03-2016
79
15
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This paper presents the results of the development of a high throughput, real time modularized text analysis and information retrieval system that identifies clinically relevant entities in clinical notes, maps the entities to several standardized nomenclatures and makes them available for subsequent information retrieval and data mining. The performance of the system was validated on a small collection of 351 documents partitioned into 4 query topics and manually examined by 3 physicians and 3 nurse abstractors for relevance to the query topics.
4p
bunbo_1
17-04-2013
48
2
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We propose a language-independent method for the automatic extraction of transliteration pairs from parallel corpora. In contrast to previous work, our method uses no form of supervision, and does not require linguistically informed preprocessing. We conduct experiments on data sets from the NEWS 2010 shared task on transliteration mining and achieve an F-measure of up to 92%, outperforming most of the semi-supervised systems that were submitted.
10p
hongdo_1
12-04-2013
49
1
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Today the term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of non-traditional, less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Decreases in the cost of both storage and compute power have made it feasible to collect this data - which would have been thrown away only a few years ago.
10p
yasuyidol
02-04-2013
49
6
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The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. In recent years many successful machine learning applications have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to information-filtering systems that learn users' reading preferences, to autonomous vehicles that learn to drive on public highways. At the same time, there have been important advances in the theory and algorithms that form the foundations of this field....
421p
trinh02
23-01-2013
123
47
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This text provides the student and professional mechanical engineer with a reference text of an essentially practical nature. It is uncluttered by text, and extensive use of illustrations and tables provide quick and clear access to information. It also includes examples of detailed calculations on many of the applications of technology used by mechanical and production engineers, draughtsmen and engineering designers.
0p
trinhvang
18-01-2013
75
21
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The coasters serving as physical icons are depicted in Figure 9. The person holding the coaster, and only that person, has access to the information on the as- sociated exhibit. Each coaster is approximately 3.5 inches in diameter, 0.75 inches thick, and is made of a hollowed-outCorian base and a clear acrylic cap. An image of the associated exhibit is attached to the bottom of the cap, as shown in Figure 9.
4p
connhobinh
10-12-2012
42
1
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