821A new information theory based algorithm for clustering categorical data
In this paper, we review two baseline algorithms for use with categorical data, namely Min-Min Roughness (MMR) and Mean Gain Ratio (MGR), and propose a new algorithm, called Minimum Mean Normalized Variation of Information (MMNVI). MMNVI algorithm uses the Mean Normalized Variation of Information of one attribute concerning another for finding the best clustering attribute, and the entropy of equivalence classes generated by the selected clustering attribute for binary splitting the clustering dataset. Experimental results on real datasets from UCI indicate that the MMNVI algorithm can be used successfully in clustering categorical data. It produces better or equivalent clustering results than the baseline algorithms.
822A nonsense mutation in BRCA1 gene in a Vietnamese patient with breast cancer
Breast cancer is the most frequent female cancer, and it is increasing at an alarming rate. The typical symptom of breast cancer is breast lumps or swellings, though they can also develop close to the breast or under the arm. Breast cancer usually spreads to distant organs such as the bone, liver, lungs, and brain. Approximately 95% of breast cancer patients who arrive with the early-stage disease show no macroscopic signs of metastases. Although it is possible to reduce some breast cancer risks through prevention, the majority of patients in low-income countries are detected at a late stage. Because of this, even though current therapy is improving, early diagnosis is still crucial for improving the quality of treatment and the survival rate. Sex, age, family history, and an unhealthy lifestyle are some of the risk factors that may increase the chances of getting this disease. Familial or hereditary breast cancer accounts for 10% of breast cancers. Mutations in the BRCA1 and BRCA2 genes were responsible for 50% of all familial or hereditary breast cancer cases. In this research, mutations in a Vietnamese patient with familial breast cancer were analyzed using whole exome sequencing.
823A novel algorithm for finding all reducts in the incomplete decision table
Attribute reduction, or attribute selection in the decision table, is a fundamental problem of rough set theory. Currently, many scientists are interested in and developing these issues. Unfortunately, most studies focus mainly on the complete decision table. On incomplete decision tables, researchers have proposed tolerance relations and designed attribute reduction algorithms based on different measures. However, these algorithms only return a reduct and do not preserve information in the decision tables. This paper will propose an efficient method to determine entire reducts of incomplete decision tables according to the relational database approach. In the complex case, this algorithm has exponential computational complexity. However, this algorithm has polynomial computational complexity in the different cases of databases.
824A novel approach to modelling a diagnosis and treatment of traditional Vietnamese medicine
In this paper, we propose a novel model of an expert system for diagnosing disease syndromes and treating traditional Vietnamese medicine. In this model, the knowledge base consists of IF-THEN rules, in which the antecedent of a rule is an elementary conjunction of propositions and negated propositions. The inference mechanism for the diagnosis of disease syndromes and treatment of traditional Vietnamese medicine applies Abelian group operations. A comparison of the inference of our model with the fuzzy max-min inferences shows that our model can have very similar rules whose contributions sum up to high weight. On the other hand, in our model, a rule with a negative weight may diminish an effect of a rule with a good weight. This feature is absent in the systems with fuzzy max-min inferences.
825A Novel Artifcial Intelligence Smart Education System for Combating Online Examination Frauds
1. A combine solution for online exams cheating detection, prediction and prevention using artifcial intelligence. 2. Some solutions for online exams cheating detection, prediction and prevention using artifcial intelligence. 3. Machine learning techniques for the problem of predicting student cheating based on exam results.
826A number of measures for applying the OREO model to enhance high school students' competence in constructing social argumentative essays
The study proposes and implements a set of measures, including guiding students to master the basic OREO structure in each paragraph, training the articulation of sharp opinions, developing persuasive reasons and evidence, and constructing a complete essay outline based on OREO.
827A number of solutions to promote consumption of products at the central market of Tran Vu co., LTD Da Nang branch = Một số giải pháp đẩy mạnh tiêu thụ sản phẩm tại thị trường miền Trung của Công ty TNHH Thương mại & Kỹ thuật Trần Vũ - Chi nhánh Đà Nẵ
Chapter 1: Theoretical basis for consumption of products; Chapter 2: Current situation of business operations and promote consumption of products at the central markets of TRV Co., Ltd _Da Nang branch over 3 years (2010 – 2012); Chapter 3: A number of solutions to promote consumption of products at the central markets of TRV Co., Ltd _Da Nang branch.
828A passion for interiors : 1st ed
Sharing her lifelong love of classical architecture and design, graciously inviting us into her favorite spaces in three remarkable homes: her own dazzling Manhattan prewar duplex, her antique-filled Colonial-era stone house in Connecticut, and a special friend’s Aspen residence evocative of eighteenth-century Sweden. Each is an architectural showpiece as well as a superlative example of her polished style: never fussy, always graceful and enticing. With more than 300 intimate and evocative photographs of these classical splendors, A Passion for Interiors is a masterwork—rich with stylish inspirations for tailor-made décor.
829A passion for life : my life-time companion, Felicia
This book was to be written by Felicia. She wanted to tell other patients about her long 13 years of experience fighting cancer, and to prepare them to face their own treatment without fear. What she did not realize then was that her time was ticking away, and writing her own book proved to be an impossible task.After Felicia passed away, her husband, Dr Cheng-Wen Wu, finished this task. Originally published in Chinese, the book was used as a reading model for students in schools and was nominated by a publisher for an award in Taiwan.
830A personal history of CESR and CLEO : the Cornell electron storage ring and its main particle detector facility
This invaluable book is a historical account of the Cornell Electron Storage Ring and its main detector facility, CLEO, from their beginnings in the late 1970's until the end of data collection at particle energies above the threshold for B meson production in June 2001. The CESR electron–positron collider was the culmination of a series of electron accelerators constructed at the Cornell Laboratory of Nuclear Studies, starting in 1945. Measurement of the products of the e+e– collisions was performed with the multipurpose CLEO apparatus, built and operated by the CLEO collaboration, which consisted of about 200 faculty, staff and graduate students from over 20 universities. This account is based mainly on the author's recollections as a participant.