The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil...
Objective: This research focused on intrinsic biological distinctions between qi deficiency pattern and qi stagnation pattern with genes related to NEI. Methods: Using the keywords related to a disease to search literature in Pubmed. Collection and download literature related to a disease. Obtain compositions of characteristic NEI-related genes of qi deficiency pattern and qi stagnation pattern by...
We address the problems of the automated temporal knowledge acquisition for development of knowledge bases in dynamic intelligent systems based on the problem-oriented methodology and AT-TECHNOLOGY workbench. We review some features of the temporal version of combined knowledge acquisition method, including the extended knowledge representation language for temporal knowledge representation. We present...
Educational Data Mining is a prominent area to explore information in educational fields using data mining algorithms. In this paper we have used few learning algorithms to effectively rate the faculty belonging to an educational institute on the basis of feedback submitted by the students. Our proposed model uses sentimental analysis and machine learning classifier algorithms for capturing the emotions...
Electronic health record (EHR) serves to capture the patients' medical conditions and detailed visits information. The structured part of EHR can be used to serve administrative and financial management of patients. However, the unstructured part, that contains the interventions applied to the patient and transcribed in textual format, have unexplored knowledge due to the narrative format. Unlike...
This short empirical paper investigates how well topic modeling and database meta-data characteristics can classify web and other proof-of-concept (PoC) exploits for publicly disclosed software vulnerabilities. By using a dataset comprised of over 36 thousand PoC exploits, near a 0.9 accuracy rate is obtained in the empirical experiment. Text mining and topic modeling are a significant boost factor...
Indonesian text data from social media is one of large text data that interesting to be mined. Mining the insight knowledge from large text data need more effort and time to processed. Moreover, Indonesian text data from social media contains natural language, including slang that require special treatment. We propose incremental technique for more efficient mining process of large text data with...
The authors discuss the problem of distributed knowledge acquisition for the construction of complete and consistent knowledge bases in integrated expert systems, in particular dynamic integrated expert systems, via sharing of knowledge sources of different topologies (databases as electronic media, experts and problem-oriented texts). This work is focused on models and methods of distributed knowledge...
Case-Based Reasoning also known as CBR model has been widely used to solve the problem in various cases. This study aims to explain the implementation of K-Nearest Neighbor Algorithm in Case-Based Reasoning model. The research showed that KNN algorithm is suitable to be used in CBR model. The results of this study are to measure the accuracy level of automatic answer identity formation and search...
Systematic Literature Review (SLR) is a structured way of conducting a review of existing research works produced by the earlier researchers. The application of right data analysis technique during the SLR evaluation stage would give an insight to the researcher in achieving the SLR objective. This paper presents how descriptive analysis and text analysis can be applied to achieve one of the common...
mipMAP is a mobile application that promotes the exchange of information among its users within the same proximity, which runs on the android operating system. The objective of creating such an application is to facilitate the user to find geolocation-specific information, such as accommodations, and restaurants. The application is developed for social development with safe and reliable mechanism,...
Nowadays, news are available ubiquitously in heterogeneous forms, from both offline and online sources. An example of offline news resource includes newspaper which contains only text and pictures. Online news articles have recently emerged to enhance news consuming experiences, such as embedding videos to allow readers to illustrate real situations. However, to read news articles online, users may...
In today's world, recommendation systems are used to solve the problem of information overload in many areas allowing users to focus on important information based on their interests. One of the areas where such systems can play a major role is in helping students achieve their career goals by generating personalized job and skill recommendations. At present, there are many job posting websites providing...
Vast growth of biomedical databases has increased most of the researchers focus on the field of Text Mining. The documents appear in unstructured format. To process and discover knowledge from these data, the unstructured databases must be converted to structured format. For this task Text mining plays a vital role. Text preprocessing is an essential step in text mining. The common preprocessing tasks...
Social media constitute a challenging new source of information for intelligence gathering and decision making. Twitter is one of the most popular social media sites and often becomes the primary source of information. Twitter messages are short and well suited for knowledge discovery. Twitter provides both researchers and practitioners a free Application Programming Interface (API) which allows them...
Several studies have been developed over the years in the areas of Text Mining, Social Network Analysis and Detection of Communities. In this paper, we present a new technique for community detection in social networking using the conversation of users in a social network. We showed that the proposal performed very well for a specific theme for defining a community and performed well for joint themes...
ASEAN Free Trade Area (AFTA) is an agreement from ASEAN countries to form a free trade area which is used to increase the economic competitiveness in ASEAN regional area. Some governmental agencies and national companies have to prepare to face AFTA and build their strategies to survive from trade area by understanding what Indonesian people think about that. In this paper we present a system to analyze...
This paper presents a hybrid filter-wrapper approach to sentiment polarity classification. It is a two-phase feature selection method that differs from other approaches in a main aspect: an initial preprocessing step with typical data mining filters. After applying such filters, a wrapper-based feature selection method, which integrates the genetic algorithm and the support vector machine classifier,...
Text mining techniques are useful in extracting hidden information about the biomedical interactions such as Protein-Protein, Drug-Drug and Protein-Drug. Recently, there is an increased interest in automated methods due to the vast growth in the volume of published text regarding biomedical interactions. This work mainly focuses on extraction of Drug-Drug interactions (DDIs) in biomedical research...
There has been a rapid rise in the number of users getting connected online via social networking sites. To communicate with other users and share their thoughts and opinions, online users' tend to use texts in the form of blogs, posts, tweets, messages, reviews, comments etc. Thus, there has been an immense possibility complemented with a wide gamut of research in the field of Opinion Mining or Sentiment...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.