Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userScientific Text Mining
التنقيب في النصوص العلمية
2892
1 92
0
(
0
)
Added by
جامعة دمشق حلقة بحث
Publication date
2018
fields
Informatics Engineering
and research's language is
العربية
Created by
Amal AlNouri
Ask ChatGPT about the research
يهدف التنقيب في النصوص بشكل عام إلى تحليل النصوص لاستخلاص معارف ذات جودة عالية من عدة مصادر نصية، والربط فيما بينها لتشكيل حقائق وفرضيات جديدة. تعد الأوراق البحثية التمثيل الأكثر اكتمالاً للمعرفة البشرية. وقد ساهمت حركة "الوصول المفتوح" إلى الأوراق البحثية، بالإضافة إلى ازدهار حقل التعلم الآلي في الآونة الأخيرة وتوفر الأدوات البرمجية والعتادية بكلف منخفضة نسبياً، بتداعي الحواجز المعيقة لعملية التنقيب في نصوص الأوراق البحثية. في تتمة هذه الدراسة سنستعرض مجموعة من أساليب التنقيب في النصوص العلمية من حيث أهميتها، مجالات استخدامها، وطرق تطبيقها.
No English abstract
References used
Petr Knoth, and Phil Gooch, A. (22 September 2015). An Introduction to Text Mining Research Papers [PDF]. Retrieved from https://www.uksg.org/sites/uksg.org/files/Text-Mining-Research-Papers.pptx.pdf.
(Visser, W. T., and M. B. Wieling. "Sentence-based summarization of scientific documents." The design and implementation of an online available automatic summarizer. Report, last retrieved Nov. 29th (2007).
Qazvinian, Vahed, and Dragomir R. Radev. "Scientific paper summarization using citation summary networks." Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1. Association for Computational Linguistics, 2008
, Horacio, and Francesco Ronzano. "Trainable citation-enhanced summarization of scientific articles." Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL). 2016
(Collins, Ed, Isabelle Augenstein, and Sebastian Riedel. "A Supervised Approach to Extractive Summarization of Scientific Papers." arXiv preprint arXiv:1706.03946 (2017)
Clark, Christopher Andreas, and Santosh Kumar Divvala. "Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers." AAAI Workshop: Scholarly Big Data. 2015
Clark, Christopher, and Santosh Divvala. "PDFFigures 2.0: Mining figures from research papers." Digital Libraries (JCDL), 2016 IEEE/ACM Joint Conference on. IEEE, 2016
Valenzuela, Marco, Vu Ha, and Oren Etzioni. "Identifying Meaningful Citations." AAAI Workshop: Scholarly Big Data. 2015
“Citeomatic: Automated Literature Review”. The Allen Institute for Artificial Intelligence, 2017. Retrieved from http://allenai.org/semantic-scholar/citeomatic
rate research
Read More
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles and animals. Many techniques have been propos
ed for processing, managing and mining trajectory data in the past decade, fostering a broad range of applications. In this article, we conduct a systematic survey on the major research into trajectory data mining, providing a panorama of the field as well as the scope of its research topics. Following a roadmap from the derivation of trajectory data, to trajectory data preprocessing, to trajectory data management, and to a variety of mining tasks (such as trajectory pattern mining, outlier detection, and trajectory classification), the survey explores the connections, correlations and differences among these existing techniques. This survey also introduces the methods that transform trajectories into other data formats, such as graphs, matrices, and tensors, to which more data mining and machine learning techniques can be applied. Finally, some public trajectory datasets are presented. This survey can help shape the field of trajectory data mining, providing a quick understanding of this field to the community.
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign looking for patterns in financial transactions to discover illegal activities. From this perspective it wa
s just a matter of time for the discipline to reach the important area of computer security This research presents a collection of research efforts on the use of data mining in computer security.
في هذا البحث تٌستخدم تقنيات استكشاف الصور كالتجميع و قواعد الاستكشاف لاستكشاف المعرفة من الصورة و أيضاً يستخدم دمج الميزات متعددة الوسائط مثل البصرية و النصية.
In this paper we introduce a comparison for some of data mining algorithm for traffic accidents analysis.
We start by describing available data for entry by analyzing the structure of statistical reports in Lattakia traffic directorate, and proceed
to data mining stage which enables us to smart study of factors that play roles in traffic accident and find its inter-relations and importance for causing traffic accident.
That comes after building data warehouse upon the database we built to store the data we gathered.
In this research we list a some of models was tested which is a sample of a many cases we checked to have the research results.
The objective of this paper is presenting an educational data
mining case study, by applying data mining techniques.
Data Mining
التنقيب في البيانات
التنقيب في بيانات المؤسسات التعليمية
برنامج ذكاء الأعمال الخاص بشركة مايكروسوفت
خوارزمية مايكروسوفت لأشجار القرار
خوارزمية مايكروسوفت للتجميع و الكشف عن الحالات الشاذة
خوارزمية مايكروسوفت لقواعد الارتباط
Educational Data Mining
SQL Server Business Intelligence Development Studio
Microsoft Decision Trees
Microsoft Clustering
Outlier Detection
Microsoft Association Rules
المزيد..
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
