Reviewerly/exHarmony huggingface dataset:
Enhanced Decision Tree Algorithm for Discovering Intra and Inter Class Exceptions

Decision tree algorithms, being accurate and comprehensible classifiers, have been one of the most widely used classifiers in data mining and machine learning. However, like many other classification algorithms, decision tree algorithms focus on extracting patterns with high generality and in the process, these ignore some rare but useful and interesting patterns that may exist in small disjuncts of data. Such extraordinary patterns with low support and high confidence capture very specific but exceptional behavior present in data. This paper proposes a novel Enhanced Decision Tree Algorithm for Discovering Intra and Inter-class Exceptions (EDTADE). Intra-class exceptions cover objects of unique interest within a class whereas inter-class exceptions capture rare conditions due to which we are forced shift the class of few unusual objects. For instance, whales and bats are examples of intra-class exceptions since these have unique characteristics within the class of mammals. Further, most of the birds are flying creatures, but the rare birds, like penguin and ostrich fall in the category of no flying birds. Here, penguin and ostrich are inter-class exceptions. In fact, without knowing about such exceptional patterns, our knowledge about a domain is incomplete. We have enhanced the decision tree algorithm by defining a framework for capturing intra and inter-class exceptions at leaf nodes of a decision tree. The proposed algorithm (EDTADE) is applied to many datasets from UCI Machine Learning Repository. The results show that the EDTADE has been successful in discovering many intra and inter-class exceptions. The decision tree augmented with intra and inter-class exceptions are more accurate, comprehensible as well as interesting since these provide additional knowledge in the form of exceptional patterns that deviate from the general rules discovered for classification.
Formation and development of education management in Ukraine: historical excursion (1917-2018)

The article deals with the historical formation of the education management in Ukraine in the period from 1917 to 2018.We have found that the modernization of the professional training of education managers is connected with the need of the society to have highly qualified specialists who are capable of: mastering the knowledge in the theory of management; realize the goals of reforming education; creatively comprehend the purpose and tasks of the functioning of institutions and educational institutions and their management, the prospects for their development, the essence of innovative theories, ideas, modern technologies.
Implementation Of Spatial-Scale Domain Based De-Noising Techniques using Different Thresholding

This paper aims in presenting a thorough comparison of performance and usefulness of multi-resolution based de-noising technique. Multi-resolution based image de-noising techniques overcome the limitation of Fourier, spatial, as well as, purely frequency based techniques, as it provides the information of 2-Dimensional (2-D) signal at different levels and scales, which is desirable for image de-noising. The multi-resolution based de-noising techniques, namely, Contourlet Transform (CT), Non Sub-sampled Contourlet Transform (NSCT), Stationary Wavelet Transform (SWT) and Discrete Wavelet Transform (DWT), have been selected for the de-noising of camera images. Further, the performance of different de-nosing techniques have been compared in terms of different noise variances, thresholding techniques and by using well defined metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE). Analysis of result shows that shift-invariant NSCT technique outperforms the CT, SWT and DWT based de-noising techniques in terms of qualititaive and quantitative objective evaluation.
COEFFICIENTS OF REGRESSION, CONTAINING MATHEMATICALLY INTRODUCED AND COGNITIVELY EXTRACTABLED KNOWLEDGE.

The article developed a variant of the Inverse Model of Multiple Linear Regression Analysis (OM MLRA with given regression coefficients =(ß1,…,ßn-1) T ,Z + 2=Z + 1β, Z + Z + 2=Z + 1β, in the presence of a partition, and the extraction of knowledge -without partitioning the set of zvariables.The input parameters of the IGP of MLRA are the vector ß=(ß1,…,ßn-1) T and the matrix of eigenvectors C +11.The numerical algorithms were tested using the example of modeling a multidimensional (β,C + 11)-sample of z -variables (with n=6).The designated vector ß=(ß1…,ß6) T regression coefficients was used.A description of the reverse process of extracting the knowledge entered using cognitive modeling will be published in another article.
Fluid catalytic cracking process and apparatus for maximizing light olefin yield and other applications

In recent years, the negative survey, which can preserve the privacy of individuals when used for collecting sensitive information, has attracted significant attention. However, the privacy of the typical negative survey is limited by the number of categories. When the number of categories is small, the typical negative survey exhibits weak privacy preservation. In particular, when only two categories exist, the typical negative survey cannot preserve the privacy of individuals. Moreover, at times, the privacy requirements of participants are strict. In such a situation, the typical negative survey fails to provide satisfactory privacy preservation. In this paper, two novel negative survey models that use negative combined categories (NCCs), NCC-I and NCC-II, are proposed. They can provide improved individual privacy preservation, in particular for sensitive information with only two categories. The experimental results demonstrate that the proposed methods can achieve superior privacy preservation and provide accurate reconstructed results.
Introduction

This chapter introduces the interdisciplinary perspective of the book. This work draws from multiples areas of research, including Computer Science, Artificial Intelligence, Data Mining, Human–Computer Interaction, Intelligent Tutoring Systems, Educational Technology, Cognitive Psychology, Linguistics, and Education. A roadmap of the structure of the book is also presented.
Event Mining Applications

chapter Share on Event Mining Applications Authors: Laleh Jalali University of California, Irvine (UCI), Hitachi America Ltd. University of California, Irvine (UCI), Hitachi America Ltd.Search about this author , Ramesh Jain University of California, Irvine (UCI) University of California, Irvine (UCI)Search about this author Authors Info & Claims Event Mining for Explanatory ModelingMay 2021 https://doi.org/10.1145/3462257.3462263Published:20 May 2021Publication History 0citation4DownloadsMetricsTotal Citations0Total Downloads4Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Code-Switching (Russian – English) in the Discourse of IT-Specialists from Moscow

The paper proposes a linguistic approach to studying code-switching in IT discourse of Moscovian IT specialists. The topic is of special interest since nowadays code-switching dominates in a number of professional spheres such as informational technologies, marketing and telecommunications. It also becomes a new language for the modern generation and moreover, a necessary tool for establishing contacts and demonstrating community affiliation. This new code exists not only within workplaces but also beyond them, that is why the aim of the article is to present an in-depth research into how IT discourse shapes Russian digital language on the whole. The methodology used for research is the Matrix Language Frame Model by C. Myers-Scotton (1993). The language units, which are represented by code-switches, are also analyzed in terms of their syntactic, morphological features and pragmatic functions. The research carried among more than 200 IT‑specialists provided a thorough understanding of linguistic features and pragmatic functions of the collected code-switches and what is more, proved the impact of the sociolect on the Russian digital language
Images, Narrative, and Gestures for Explanation

Visual information and verbal information are processed in different ways and by different parts of the brain. Each has its own strengths and often both should be combined in a presentation. This chapter addresses when visual and verbal presentation should be used and how the two kinds of information should be linked. The applications discussed include integrating images and words, visual programming languages, and effective diagrams.
Mutual Recognition between JSME Senior Analyst and NAFEMS Professional Simulation Engineer

This paper describes about mutual recognition between JSME Senior Analyst and NAFEMS PSE, benefit of PSE certification for PSE certified Senior Analysts, and PSEs who are contributing to the development of advanced semiconductor manufacturing equipment. Mutual recognition between JSME Senior Analyst and NAFEMS PSE has started since 2014 and number of International Senior Analysts who have been certified as PSE is forty-seven. Number of PSEs who have been certified as Senior Analyst is two. Mutual recognition has been achieved. Results of a questionnaire survey of International Senior Analysts by JSME showed 65% of respondents felt benefit of PSE certification. And most of respondents thought benefit of PSE certification could increase if awareness of PSE would increase. ASML, semiconductor lithography equipment maker, introduced customized PSE scheme for all simulation users in the company to acquire proper usage of simulation for development of semiconductor lithography equipment for most advanced semiconductor chips.
The Neural Network Simulation of Instance-Aware Semantic Image Segmentation System

This paper presents the system of the recognition and segmentation of objects which is based on an effective method for semi-controlled instance-aware segmentation of video and images. The system allows to achieve high quality forecasting of segmentation annotations for video frames while processing in real time. For this purpose a neural network model was proposed in the form of a Siamese deep network with a structure “encoder-decoder” which is designed to take advantage of both propagation-based and detection-based methods while avoiding the weaknesses of both approaches. The network was trained in a two-stage training process that uses both synthetic and real data and works reliably without online training or post-processing. The quality of the trained model was tested on training video.
Importance analysis of fault trees by visual inspection

To achieve high reliability for any system, it is necessary to identify the components and the subsystems that have the greatest impact on its reliability. Such items can be identified using importance measures that rank the items quantitatively according to their contribution to the system unreliability. Taking into consideration the complexity and time involved in computing these measures we have proposed an algorithm that can pinpoint the most important component just by visually inspecting the fault tree. Calculations whenever required, involve simple arithmetic. It gives the user freedom from the complex calculations, save their time and performs the intended task without the use of software tools. Then the generalization of this work has been proposed that ranks the components of the fault tree. We have illustrated both the algorithms for the fault trees without as well as with repeated events.
Image Segmentation on Satellite Based Image Using Advanced Watershed Method

Picture division is the method toward unscrambling a portrait into numerous parts. This be regularly worn to distinguish substance or other considerable data in advanced pictures. Readily available are a wide range of approaches to perform picture division; including One of the keys in characterization is the division. Portioning a picture into districts is an issue that has numerous conceivable arrangements. Question based division has been extremely prominent as of late as a result of its remarkable capacity to isolate the adaptability and homogeneity concerning outline and shading starting its neighboring pixel cell particularly near the informational index among towering spatial inconstancy. In any case, the most basic is the decision of parameter esteems. This investigation expects to improve the division by picking suitable filtration technique and parameter esteems. Notwithstanding, to decide the execution of the division procedure, in this venture we perform assortment Fit catalogue metric utilizing ArcPy bundle. Here are 5 examination regions chose various state &amp; scope. Grades demonstrate with the purpose of bigger territories give the most astounding precision in AFI assessment. Be that as it may, this is a differentiation to the grouping comes about which gives higher exactness towards the littler dataset.
Scale Validation: School Based Management Inventory First Edition (SBMI-1)

School Based Management Inventories first edition (SBMI-1) was self-developed in 2014 to be a measure of the extent of involvement of stake holders in the educational administrations. The inventories examined factors such as power decentralization (for instance, decision that concerns the school administration do involves the community), provision of facilities (for instance., community assistance in the provision of basic facilities such as classroom buildings, renovations, among others.), monitoring and evaluation of the teaching, learning activities of the school system, recruitment and retrenchment (for instance., On account of necessity, how community recruit new staff to the school as ad hoc staff), and financial obligation in form of periodic expenses and income analysis by the community committee, efficient and effective practice of school based management in determining students’ academic performance in secondary schools. The measure also helps in monitoring school progress and effectiveness.
Analyzing Political Trending Tweets for Opinion Extraction

Assessment mining once in a while additionally alluded as notion investigation, very well may be utilized for normal language preparing. By the assistance of supposition mining state of mind of open about any item or an individual can be followed. This procedure includes building a framework which gather and classify sentiments about an individual's notoriety. Disposition and sentiments of open can be followed utilizing a stubborn record by arranging it as either positive or negative as per the slant communicated in it. Traditional assumption examination frameworks face challenges like short length of content, spelling mistakes, Special tokens like URLs, emojis, diversity of substance, Different style of language, multilingual substance, slang words and so forth. Approach of opinion extraction depend on directed learning, or solo strategies (content pre-processing by expelling tokens, URLs, stop words). Following techniques were clarified for political assessment mining dependent on fame by utilizing three characterization calculations i.e., Multi Naive Bayes calculation depends on Naive Bayes hypothesis which utilizes contingent likelihood by tallying the recurrence of qualities and blends them in an informational collection, straight SVC and XGB classifier. Check vectorization is utilized to change the literary information into vectors, either by utilizing TF-IDF calculation or BOW. Extremity is determined via preparing the informational index and afterward resultant number of positive and negative slants can be determined. The Result will be determined dependent on these extremity esteems.
PERANCANGAN SISTEM INFORMASI RESEP PULANG FARMASI RAWAT INAP DENGAN METODE E-PRESSCRIBING PADA RS XYZ

The Hospitals are one of the industries engaged in health services where hospitals are always required to have good, efficient, and quality services. Pharmacy services are one of the activities in hospitals that support quality health services, including affordable clinical pharmacy services for all levels of society, in this case the patient queue at the registration section because registration is done manually. because the dose must be calculated first before being formulated, so the waiting time for the prescription to go home is long. There is duplication of prescriptions or there is drug interaction in one prescription, so we have to confirm with the doctor first, there is a vacancy in the drug stock at the Inpatient Pharmacy, so we have to borrow drugs from another department first, if the other pharmacies don't have the stock of the drug, we have to call the doctor first to change the drug with the same indication, if the doctor doesn't want to change we are forced to buy medicine from outside, in a previous study by Dian Rakasiwi (JKOMA; 2018) in his journal mentioning the design of an e-prescribing system (electronic prescribing) or prescription electronically by using the codeigniter framework in the manufacture of drug prescriptions so that the drug redemption time is more effective and efficient. So that with the Design of Information Systems Waiting Time for Inpatient Pharmacy Discharge Prescriptions with the E-Presscribing Method at XYZ Hospital using the Waterfall method to describe the system, UML (Unified Modeling System) and MySQL are used as Web-based information data storage databases with Codeigniter as a framework, so that Hospitals can improve pharmacy services in terms of minimizing waiting time for prescriptions.
Anti-forensics

Anti-forensics is a big challenge that cyber forensic experts encounter with the modern cybercriminals. These are a collection of tools and techniques used to damage, erase, or modify data that obstructs the normal forensic examination. Anti-forensic measures performed on a device will harm the integrity of the data and could compromise the investigation. The common intent of anti-forensics tools is completely for a malicious intent. Anti-forensics or counter-forensics could be an option to defend against espionage as recovery of information by forensics tools could be minimized.
Using Customer-Service Software to Manage Serials Online Access Issues

SUMMARY. Carol Ann Borchert described how the University of South Florida is using customer relationship management (CRM) software to manage serials online access issues. Originally, an internal e-mail listserv was used to report problems, but tracking problems was difficult. To better manage the workflow, customer-service software was implemented to monitor access problems. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@hawortIipress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
HIGHER-ORDER NONCLASSICAL AND ENTANGLEMENT PROPERTIES IN PHOTON-ADDED TRIO COHERENT STATE

&lt;p&gt;This paper studies the higher-order nonclassical and entanglemet properties in the photon-added trio coherent state (PATCS). We use the criterion of higher-order single-mode antibunching to evaluate the role of photon addition operation. Moreover, the general criteria for detection of higher-order three-mode sum squeezing and entanglement features in the PATCS are also investigated. The results show that the photon addition operation to a trio coherent state can enhance the degree of both the higher-order single-mode antibunching and the higher-order three-mode sum squeezing, and enlarge the value of higher-order three-mode entanglement factor in the PATCS. In addition, the manifestation of the single-mode antibunching and the entanglement properties are more obvious with increasing the higher values of orders.&lt;/p&gt;
Meeting Our New Members of Editorial Board of Rising Stars

Chinese Journal of ChemistryVolume 37, Issue 12 p. 1293-1294 Meeting Our New Members of Editorial Board of Rising Stars Meeting Our New Members of Editorial Board of Rising Stars First published: 19 November 2019 https://doi.org/10.1002/cjoc.201990123Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume37, Issue12December, 2019Pages 1293-1294 RelatedInformation
Participation by Fund Staff In Anti-Money Laundering/Combating The Financing Of Terrorism Assessments by Other Assessor Bodies

The Fund’s Anti-Money Laundering/Combating the Financing of Terrorism (AML/CFT) Strategy was most recently reviewed by the Executive Board in November 2018. In addition, during the Board discussion of the 2018 review, a number of Directors felt strongly that Fund staff should participate in assessments led by other AML/CFT assessor bodies, on an exceptional basis.
Personal Information

This chapter tells you how and where you should write your name, whether you should include a photo and if so what type, and how you should I write your date of birth. You will learn the importance of having a professional-looking email address, and how to present yourself on LinkedIn.
Detecting Forged E-Mail using Data Mining Techniques

In the modern era of computers E-mails is becoming a very important mode of communication for industry, people, and organizations and for the society as a whole. Especially in corporate sectors and business organizations, E mails are widely used for business and personal communication. The feature of E-mails is that, it creates quick, reliable type of communication that’s all free and simply accessible. In spite of so many alternative means of communication such as messages, social networks like WhatsApp, Twitter, and mobile applications, the uses of E-mails continuously growing exponentially. But due to its popularity there are continuously threats and attacks are carried out over E-mails for various gain. The foremost popular attack over the web is phishing mails. Phishers utilize E-mail services quite expeditiously in spite of different detection and hindrance techniques already in situ. Most of the present day phishing attacks use E-mail as the primary carrier. Phishers conceive to fraudulently acquire sensitive information, like usernames, passwords and master card details, by masquerading as a trustworthy entity in transmission. Even though there are a lot of existing techniques offered to notice phishing attacks, every one of them have their own limitations. This research aims to identify the phishing E-mails using classification techniques with a better accuracy. The technique proposed in this research work to classify forged E-mails from the Genuine E-mails and also examines the effectiveness of detection of common user’s phishing E-mails. It provides a great help to the common man by proper detection of phishing attacks and protecting their confidential data.