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.
Over the last few years, researchers proposed several semantic history slicing approaches that identify the set of semantically-related commits implementing a particular software functionality. However, there is no comprehensive benchmark for evaluating these approaches, making it difficult to assess their capabilities. This paper presents a dataset of 81 semantic change data collected from 8 real-world...
This research provides real-time analysis and processing exploration into load rate data of main shaft of triaxial hard track machine with Industry 4.0 through case companies so as to explore the reasons affecting the abnormality of load rate data of main shaft of machine. First of all, Delphi technique expertise questionnaire is used to find out the reasons for the abnormality of load rate of main...
Huge amount of entities and theirs relationships are posted on the Web. Those entities and theirs relationship networks help many activities. In this paper, we focus on the task of extracting academic entity network from homepages. Homepages usually contain many entities, such as persons, conference/journal and organization and theirs relationship. However, homepages don't follow a unified layout...
As recently as a result of the shortage of energy, the price of oil and raw material are rising, plus the long-term ecological destruction to the environment, the Earth carbonation growing phenomenon, and therefore reduce carbon emissions has become a hot topic. Usually the air conditioning system as long as to reach the set temperature, the compressor will be stopped, while the ambient temperature...
This paper studies the fundamental problems of mining association rules. Based on the summary of classical mining algorithm and the inherent defects of Apriori algorithm, some related improvements are researched. In order to avoid scanning the database multiple times, the database mapping method is changed in this research. Meanwhile, after the support of candidate item sets is get, each candidate...
Treatment determination based on syndrome differentiation is the key of Chinese medicine. A feasible way of improving the clinical therapy effectiveness is needed to correctly differentiate the syndrome classifications based on the clinical manifestations. In this paper, a novel data mining method based on manifold ranking (MR) is proposed to explore the relation between syndromes and symptoms for...
Traditional Chinese medicines (CM) topical herbs for atopic dermatitis are mainly consist of nourishing the blood, dryness-moistening, dry-dampness, skin-moisturizing and itching-relief, of which therapeutic principles are taken as dryness-moistening to relieve itching. Based on the modified mutual information, complex system entropy cluster and unsupervised hierarchical clustering, the CM recipes...
Data Mining is to pick up unknown, potential and useful information from vast, incomplete, noisy, vague and random data. Association Rules analysis is frequently used in data mining that analyze data and find the association or contact between things. This paper applies the Association Rules to the analysis of relationship between casualty and residential environment in earthquake. The data comes...
Adverse Drug Reaction (ADR) is one of the most important issues in the assessment of drug safety. In fact, many adverse drug reactions are not discovered during limited pre-marketing clinical trials; instead, they are only observed after long term post-marketing surveillance of drug usage. In light of this, the detection of adverse drug reactions, as early as possible, is an important topic of research...
Based on association rules, Associative classification (AC) has shown great promise over many other classification techniques on static dataset. However, the increasing prominence of data streams arising in a wide range of advanced application has posed a new challenge for it. This paper describes and evaluates AC-DS, a new associative classification algorithm for data streams which is based on the...
Multimedia Mining is a young but challenging subfield in Data Mining. There are not unified conclusions in the concept, content and methods of Multimedia Mining, Multimedia mining architecture and framework has to be further studied. Based on these, it introduces a appropriate data mining model based on multimedia database; it has analyzed the methods which are associated with the model: data cube,...
Indirect association is a new type of infrequent pattern, which provides a new way for interpreting the value of infrequent patterns and can effectively reduce the number of uninteresting infrequent patterns. The concept of indirect association is to “indirectly”connect two rarely co-occurred items via a frequent itemset called mediator, and if appropriately utilized it can help to identify real interesting...
Nowadays, more and more digital images are used in industrial design field. The tools for digital images quality evaluation are needed to select good images. In this paper, we propose one clarity quality metric using the non-subsampled contourlet transform. The proposed metric is based on the high frequency and low frequency coefficients with the non-subsampled contourlet transform. Experimental results...
In order to predict the dynamic surface subsidence and deformation, a working face was divided into some mining elements along strike according to the face advancing, and the dynamic surface subsidence and deformation was regard as the superposition of the dynamic subsidence and deformation independently of all these mining elements. There might be a section of which width was shorter than a mining...
In applications of digital imaging, when a lens focuses on a subject at a certain distance, all subjects at that distance are sharply focused. However, those subjects not at the same distance are out of focus and theoretically are not sharp. In this paper, we propose one novel multifocus image fusion method to make the final images contains all subjects in focus. The proposed method is by cooperation...
Recent development in the field of face detection highlights the benefits from large scale training samples, which can be cheaply collected through Internet. However, these large training sets are usually constructed in a rather arbitrary manner. In this paper, we empirically investigate the fundamental question of how the training set effects the performance of a given state of the art face detector...
Among others, spoofing with photos is one of the most common manner to intrude a face recognition system. In this paper, we presents a novel method to deal with this problem, based on the observation that the difference between a photo and a real face usually leads to different distribution behavior in the frequency domain. In particular, we propose to first use a DoG (difference of Gaussian) filter...
The real time requirement is an additional constraint on many intelligent applications in robotics, such as shape recognition and retrieval using a mobile robot platform. In this paper, we present a scalable approach for efficiently retrieving closed contour shapes. The contour of an object is represented by piecewise linear segments. A skip Tri-Gram is obtained by selecting three segments in the...
We present a method for the synthesis of non-linear ranking function of a program loop. Based on the region-based search, it reduces the non-linear ranking function discovering to the inequality checking. The inequality prover BOTTEMA then can be utilized to check validity for inequalities. In contrast to other approaches, the new approach can also discover the ranking function with the radicals due...
The computer simulation technique has been widely applied to the mine disaster control field. In this paper, we discuss the use of dense borehole pre-drainage technology as a preventive measure for coal and gas outburst. In order to enhance the pre-drainage efficiency and rationally arrange the borehole, the solid-gas coupled RFPA2D-Gas software is used to study the variation regularity in gas pressure...
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.