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Using Databases in Decisions Systems for Businesses
Issue:
Volume 2, Issue 2, December 2016
Pages:
15-20
Received:
5 September 2016
Accepted:
20 October 2016
Published:
21 November 2016
DOI:
10.11648/j.ijdsa.20160202.11
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Abstract: The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.
Abstract: The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can b...
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Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus
Zhibin Ji,
Guizhi Wang,
Fei Dong,
Lei Hou,
Zhaohua Liu,
Tianle Chao,
Jianmin Wang
Issue:
Volume 2, Issue 2, December 2016
Pages:
21-31
Received:
6 September 2016
Accepted:
9 December 2016
Published:
30 December 2016
DOI:
10.11648/j.ijdsa.20160202.12
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Abstract: MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach was used for the identification and function analysis of novel miRNA candidates in Capra hircus. As a result, a total of 13 potential microRNA candidates were detected following a range of filtering criteria. 153 non-redundant presumable target genes were predicted in Ovis aries 3′-Untranslated region database. 149 protein sequences were mapped by BLASTX, 2,517 GO terms were returned and distributed in biological process, molecular function and cell component. 66 KEGG pathways were also involved by these novel miRNAs. The qRT-PCR based assay was performed to validate the authenticity of these novel miRNA candidates. The results indicate the expressed sequence tags analysis is an efficient and affordable approach for identifying novel microRNA candidates, and our study provides insight into the further researches of miRNAs and their functions in Capra hircus.
Abstract: MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach w...
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Measuring Knowledge: A Quantitative Approach to Knowledge Theory
Issue:
Volume 2, Issue 2, December 2016
Pages:
32-36
Received:
6 October 2016
Accepted:
2 December 2016
Published:
30 December 2016
DOI:
10.11648/j.ijdsa.20160202.13
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Abstract: By transferring the DIKW hierarchy to the concept of chain, namely data – information – knowledge – wisdom, the knowledge measure is set up as the logarithm of information, while the information is the logarithm of data, so that knowledge metrics are naturally introduced and the mechanism of Brookes’ basic equation of information science is revealed. When knowledge is classified as explicit knowledge and tacit knowledge, qualitative SECI model is changed to quantitative triangle functions on explicit knowledge and tacit knowledge, where the former is measured by the logarithm of data and the latter is measured by the negative entropy of language. The author suggests to treat the unit of knowledge as kit, correspondingly, data as bit and information as byte.
Abstract: By transferring the DIKW hierarchy to the concept of chain, namely data – information – knowledge – wisdom, the knowledge measure is set up as the logarithm of information, while the information is the logarithm of data, so that knowledge metrics are naturally introduced and the mechanism of Brookes’ basic equation of information science is reveale...
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Research Article
Online Recognition Approach of Arabic Numerals Using Matching Alignment Algorithm
Mustafa Ali Abuzaraida,
Akram M. Zeki,
Ahmed M. Zeki
Issue:
Volume 2, Issue 2, December 2016
Pages:
37-41
Received:
19 September 2016
Accepted:
14 December 2016
Published:
10 January 2017
DOI:
10.11648/j.ijdsa.20160202.14
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Abstract: Online text recognition systems have been continually given due importance these days globally because of the rapidly developing touch screen gadgets. However, it has been difficult to utilize keyboards and external mouse-like inputs in significantly tinier devices which consequently paved the way to current researched based scientists to look for some newer techniques which could design such type of online systems which could further deal with different kinds of texts for example, digits, symbols and alphabets. In the present paper, an online system for recognizing manually written Arabic numerals is being given. This paper will show digit acquisition, preprocessing, feature extraction and recognition phases in detail. The set of the data was gathered from 100 writers using a touch screen PC with 100 samples of every digit. The average accuracy rate of the outcome of the test of this proposed system was 98%, which is a significant accuracy rate.
Abstract: Online text recognition systems have been continually given due importance these days globally because of the rapidly developing touch screen gadgets. However, it has been difficult to utilize keyboards and external mouse-like inputs in significantly tinier devices which consequently paved the way to current researched based scientists to look for ...
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