SQL-based semantics for path expressions over hierarchical data in relational databases

Vainio, Johanna; Junkkari, Marko

doi:10.1177/0165551514520943

Cited by 6 publications

(8 citation statements)

References 33 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data obtained through the need assessment were analyzed with a percentage, and the data from the interviews were analyzed using the content analysis procedure. The important thing to obtaining information related to student needs for career counseling is reviews and suggestions from material experts and media experts following the development procedures carried out [26]. Measurements made on the experts use a Likert scale with a rating of 5 = highly feasible, score 4 = feasible, score 3 = moderately feasible, score 2 = less feasible, score 1 = unfeasible.…”

Section: Discussionmentioning

confidence: 99%

Developing Mobile-based Career Counselling Applications: a Tool for Assisting High School Students on Career Decisions Making

Hidayat¹,

Kustandi²,

Prabowo³

2022

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

The difficulties of career-making decisions are experienced by high school students in Indonesia, especially in making choices for advanced education. Mostly, students are still confused about choosing what major is appropriate for continuing their studies in college because they have not yet received sufficient information as a basis for it. The difficulties in obtaining the information can be helped by utilizing information and communication technology (ICT) in career information services for students in the form of mobile-based applications. This study aims to develop mobile-based career counseling to assist students in choosing a major in college. This application can be downloaded by mobile phone. This application has four main features: assessment, study information, career counseling, and other info. The research method used Research and Development (R&D) with the ADDIE model. There are five fundament stages, including analysis, design, develop, implementation and evaluation. Need analysis was conducted on 573 respondents. After the application design was developed, testing was carried out by experts in counseling, experts in software engineering, and users (N = 40) who are students from the school. The results showed that the mobile-based career counseling application is feasible and very helpful for students in making career decisions. It is more efficient in assisting students in determining advanced education options. It will ease the work of school counselors in providing career counseling services. For further study, the need to experiment to compare the effectiveness of career counseling by application and directly counseling.

show abstract

Section: Discussionmentioning

confidence: 99%

Developing Mobile-based Career Counselling Applications: a Tool for Assisting High School Students on Career Decisions Making

Hidayat¹,

Kustandi²,

Prabowo³

2022

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

show abstract

“…This will lead to a great number of join operations, which increase the query response time. The path expressions are a conventional and compact way to represent hierarchical relationships by embedding them within SQL queries and compiling them to standard SQL [28]. The utilization of the path When comparing these sub-techniques, the second is evidently superior to the first in terms of reducing the storage space of the RDB and query response times.…”

Section: Model Mapping Techniquesmentioning

confidence: 99%

Model mapping approaches for XML documents: A review

Qtaish

Ahmad

2015

Journal of Information Science

View full text Add to dashboard Cite

XML has become the dominant standard for data exchange and representation on the Web. The Relational Database (RDB) possesses is widely used as a storage and retrieval medium in the business field. With the expanding utilization of XML data on the Web, the size of this data type has increased rapidly, and more complicated queries are issued by users through this data. This expansion has prompted numerous researchers to propose various approaches in managing XML data through RDB. In this study, the most cited and the latest model-mapping approaches are reviewed in terms of the description, the technique used and the RDB schema produced using each approach. The limitations of these approaches are discussed, in terms of the storage space and query response time. At the end of this study, a solution to these limitations is proposed. It is hoped that this paper will give some insight into storing XML documents in RDB schema and contribute to the XML community.

show abstract

“…In the literature [12], the R tree optimization algorithm is used to achieve data mining. The coverage area and the blank part of the node are reduced by spatial clustering, and the efficiency of data mining is improved.…”

Section: Introductionmentioning

confidence: 99%

Data Mining Technology Based on Association Rules Algorithm

2019

IJOMAM

View full text Add to dashboard Cite

The current data mining technology has the mismatch problem of mining keywords and used words, which leads to low mining precision and low efficiency. In this paper, a new data mining algorithm based on association rule algorithm is proposed. Firstly, the weight of the keywords in the data mining process is calculated by using the TF-IDF function. Based on the analysis of the association rules algorithm and the vector space model, the information retrieval model is constructed. On the basis of this, the association rule algorithm including the initial mining items is used to establish the rule database, and several words with the highest degree of relevance to the mining words are selected as the extension words, which is combined with the initial mining into a new mining. Finally, the clustering analysis of new mining results are carried out by K-means clustering algorithm, and according to the descending order, the relevance is ordered, to output mining results. The experimental results show that the algorithm is accurate and efficient.

show abstract

SQL-based semantics for path expressions over hierarchical data in relational databases

Cited by 6 publications

References 33 publications

Developing Mobile-based Career Counselling Applications: a Tool for Assisting High School Students on Career Decisions Making

Developing Mobile-based Career Counselling Applications: a Tool for Assisting High School Students on Career Decisions Making

Model mapping approaches for XML documents: A review

Data Mining Technology Based on Association Rules Algorithm

Contact Info

Product

Resources

About