1 10 6 https://repository.horizon.ac.id/files/original/434750e89f985acf67db980b59416579.pdf d8d36b4864e26d01d0e120f52937fbe5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of Big Data Mining Technology in Blockchain Computing Subject The topic of the resource Big Data, Data Mining, Virtual Currency, Blockchain Computing Description An account of the resource Big data in the modern science and technology and social activities play an important role, on the one hand, a large number of new applications and technology into our lives, in the use of these new technologies to produce a large amount of data, on the other hand, big data as one of the most important digital assets, many of the development of new technologies also rely on large data as support. This paper focuses on the research and application of big data mining technology in blockchain computing. Firstly, this paper extracts the corresponding transaction data according to the Bitcoin address and constructs the transaction features to get the Bitcoin data set. Then, the data features are processed. Then, three algorithm models, SVM, Adaboost and Random Forest, are selected to model and analyze the preprocessed data combined with different sampling strategies. According to the comprehensive performance of the model and its shortcomings, the model is selected and improved. Creator An entity primarily responsible for making the resource Zejian Dong Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/a152f61edcbcf774b8e288b09b3b7b62.pdf 2ee915a045e6c4792e8e0deb471befb5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Research on Safety and Integrated Disaster Prevention System Based on Big Data Technology Subject The topic of the resource Safety, Integrated Disaster Prevention System, Big Data Technology Description An account of the resource Safety integrated disaster prevention systems, as a guarantee of national safety, especially to reduce the serious consequences of disasters, promote the steady development of the economic and social level, have important practical value for the comprehensive study of safety and disaster prevention systems. However, the current application and update of such systems by relevant government agencies and the social level cannot effectively follow the development needs of the society and the industry, and there is an urgent need for effective reform. Based on this, this paper first analyzes the problems existing in the research and construction system of big data technology in the security and integrated disaster prevention system, and then gives the construction strategy of the research system of safety and disaster prevention in view of these problems. Creator An entity primarily responsible for making the resource Zhongyang Sun *, Danhui Fang, Zeshuai Zhou Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/8155eb81d5840f61e956e62bd3f808be.pdf 665f5a2a04d5b58dcc65fe92fcd16675 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Research on Network Data Algorithm Based on Association Rules Subject The topic of the resource Big Data, Algorithm, Training, Association Description An account of the resource The network data algorithm on account of association can effectively describe the development process of historical data and predict the development trend of data. Draw support from the corresponding data algorithm to ameliorate the mining efficiency and execution efficiency of association, more users pay more attention to the rules, so it has important research and utilization value. On account of this, this paper first analyzes the concept and mining process of data association, then studies the mining algorithm of data association, and finally gives the structure and utilization effect of cyber data algorithm on account of association. This research focuses on developing network data algorithms based on association rules. Association rules are widely used in data mining to identify patterns and relationships between variables. In the context of network data, association rules can be used to identify relationships between nodes or entities in a network. The proposed algorithms leverage association rules to identify important nodes in a network and to uncover hidden patterns and relationships between nodes. The research also explores the performance of the algorithms in different network structures and data scenarios. The results of this research have the potential to improve the understanding and analysis of network data, which can be applied in various fields, including social network analysis, transportation network analysis, and bioinformatics. Creator An entity primarily responsible for making the resource Rui Wang Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLIST Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/5ae17b1c97c2caeec5a5ede9b5e932cd.pdf b8649b11672590c5a5edf461d2b00a1a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploring the Effectiveness of Web Crawlers in Detecting Security Vulnerabilities in Computer Software Applications Subject The topic of the resource Web Crawler, Software, Security Breach, Detection Technology Description An account of the resource With the rapid development of the Internet, the World Wide Web has become a carrier of a large amount of information. In order to effectively extract and use this information, web crawlers that crawl various web resources have emerged. The interconnectedness, openness, and interactivity of information in the World Wide Web bring great convenience for information sharing to the society and they also bring many security risks. To protect resource information, computer software security vulnerabilities have become the focus of attention. This article is based on the method of computer software security detection under a web crawler that simply analyzes the basic concepts of computer software security detection and analyzes the precautions in the process of security detection. Finally, combined with the computer software security vulnerability problems in the web crawler environment, its security detection technology Application for further analysis Creator An entity primarily responsible for making the resource Biao Wan 1,*, Chunmei Xu 1, Jahoon Koo Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/5c6e5fc40fe6efa2d9ca9134c78bbfcb.pdf 62aede62aa526b07a705a924f2d5237b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Utilizing Internet Analysis Technology to Conduct Data Analysis of Student Attitude Survey Subject The topic of the resource Trilingualism; Language Attitude; Tibetan College Students; Big Data; Tibet Areas Description An account of the resource Language attitude is people’s understanding and evaluation of languages, which has an important effect on language learning. Based upon investigation into 605 Tibetan college students from 5 colleges in Tibet areas, and combined with network data, this paper mainly analyzes their attitude towards Tibetan, Chinese and English from four dimensions: recognizing, instrumental, integrative and transferring attitude. This paper also discusses the relationship between students’ language attitude and their gender and grade. This study utilizes internet analysis technology to analyze data obtained from a student attitude survey. The survey was conducted to examine the attitudes of students towards a particular educational program. The study includes a description of the survey instrument and the method used to collect data. The data collected was analyzed using various statistical techniques, including frequency analysis and correlation analysis. The findings reveal important insights into student attitudes towards the program and highlight areas of improvement for the program. The use of internet analysis technology proved to be an efficient and effective method of data analysis in this study. The study contributes to the growing body of knowledge on data analysis in educational research and provides useful information for educators and policymakers. Creator An entity primarily responsible for making the resource Yongcheng Cao 1,*, Huajie Chen 2, Quanguo Liu Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/4c8febd9a2537766a921f8294b7856d1.pdf 906d74f386ec3865d6827d3e32eb550e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 6 NO 2 MARCHT 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparison of Three Time Series Forecasting Methods on Linear Regression, Exponential Smoothing and Weighted Moving Average Subject The topic of the resource Forecasting, Quantitative, MAD, MSE, MAPE Description An account of the resource The purpose of this study is to compare the 3 forecasting methods Linear Regression, Exponential Smoothing and Weighted Moving Average based on the smallest error value or close to zero. From the results of this study, the Linear Regression method was obtained as the correct method with a predicted value of 502 students, the smallest error value was MAD 27.83, MSE 1152.1 MAPE 8.1%. The Tracking Signal value moves between 1 and -1, the movement is within the control limits of the tracking signal standard deviation distribution 4 and -4, meaning that the method is correct. The Moving Range value moves between 68 and -46, this value is within the MR control limits of 117.83 and -117.83, this result shows that this means that this method has been tested for truth and can be accepted as well. Thus, indicating that the Linear Regression method as a forecasting method is appropriate and acceptable as a basis for future decision making. The level of accuracy of the error and the value in control shows that there is a time series data relationship between the x variable, namely time, and the variable y, namely actual data. In addition, it produces trending data movement patterns, meaning that data movements experience a significant increase over a long period of time or for 7 periods. Creator An entity primarily responsible for making the resource Ajiono 1, Taqwa Hariguna Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLIST Type The nature or genre of the resource TEXT