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Study and Analysis of K-Means Clustering Algorithm Using Rapidminer
Institution is a place where teacher explains and student just understands and learns the lesson. Every student has his own definition for toughness and easiness and there isn’t any absolute scale for measuring knowledge but examination score indicate the performance of student. In this case study, knowledge of data mining is combined with educational strategies to improve students’ performance. Generally, data mining (sometimes called data or knowledge discovery) is the process of analysing data from different perspectives and summarizing it into useful information. Data mining software is one of a number of analytical tools for data. It allows users to analyse data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational database. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters).This project describes the use of clustering data mining technique to improve the efficiency of academic performance in the educational institutions .In this project, a live experiment was conducted on students .By conducting an exam on students of computer science major using MOODLE(LMS) and analysing that data generated using RapidMiner(Datamining Software) and later by performing clustering on the data. This method helps to identify the students who need special advising or counselling by the teacher to give high quality of education.
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Semoga bermanfa'at.
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Mammography is an effective imaging modality of breast cancer abnormalities detection. Survival rate of breast cancer treatment can be increased via early detection of mammography. However detecting the mass in the early stage is a tough task for radiologist. Detection of suspicious abnormalities is a continual task. Out of thousand cases only 3 to 4 are analyzed as cancerous by a radiologist and thus abnormality may be left out. 10-30% of cancers are failed to detect by radiologist. Computer Aided Diagnosis helps the radiologists to detect abnormalities earlier than traditional procedures. Because of some negligence in capturing device, the image may be affected by noise this leads to fault diagnosis. Preprocessing can remove this unwanted noise. In this paper features such as entropy, circularity, edge detection, and correlation are extracted from the image to distinguish normal and abnormal regions of a mammogram. Classification and detection of mammogram can be done by Possibilistic Fuzzy C Means algorithm and Support Vector Machine using extracted features.
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Study and Analysis of K-Means Clustering Algorithm Using Rapidminer
Institution is a place where teacher explains and student just understands and learns the lesson. Every student has his own definition for toughness and easiness and there isn’t any absolute scale for measuring knowledge but examination score indicate the performance of student. In this case study, knowledge of data mining is combined with educational strategies to improve students’ performance. Generally, data mining (sometimes called data or knowledge discovery) is the process of analysing data from different perspectives and summarizing it into useful information. Data mining software is one of a number of analytical tools for data. It allows users to analyse data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational database. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters).This project describes the use of clustering data mining technique to improve the efficiency of academic performance in the educational institutions .In this project, a live experiment was conducted on students .By conducting an exam on students of computer science major using MOODLE(LMS) and analysing that data generated using RapidMiner(Datamining Software) and later by performing clustering on the data. This method helps to identify the students who need special advising or counselling by the teacher to give high quality of education.
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Ini adalah salah satu materi pembelajaran Agama Islam SMA kelas XI IPA/IPS kurikulum KTSP 2006. Yaitu tentang penjelasan dan tafsir dari surah Al Baqarah 148.
Semoga bermanfa'at.
Jika ada kesalahan.. Tolong beritahu saya :)
Effects oftheExchange Interaction Parameter onthePhase Diagrams fortheTransve...
The microscopic effect of the exchange interaction parameter for the 2-Dimensional ising model with nearest neighbor interaction has been studied. By supposing simple temperature dependent relationship for the exchange parameter, graphs were straightforwardly obtained that show the reentrant closed looped phase diagrams symptomatic of some colloids and complex fluids and some binary liquids mixtures in particular. By parameter modifications, other phase diagrams were also obtained. Amongst which are the u-shapes and other exotic shapes of phase diagrams. Our results show that the exchange interaction parameter greatly influence the size of the ordered phase. Hence the larger the value of the constant, the larger the size of the ordered phase. This means that the higher values of the exchange parameter brings about phase transitions that straddle a wider range of polarizations and temperatures.
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Mammography is an effective imaging modality of breast cancer abnormalities detection. Survival rate of breast cancer treatment can be increased via early detection of mammography. However detecting the mass in the early stage is a tough task for radiologist. Detection of suspicious abnormalities is a continual task. Out of thousand cases only 3 to 4 are analyzed as cancerous by a radiologist and thus abnormality may be left out. 10-30% of cancers are failed to detect by radiologist. Computer Aided Diagnosis helps the radiologists to detect abnormalities earlier than traditional procedures. Because of some negligence in capturing device, the image may be affected by noise this leads to fault diagnosis. Preprocessing can remove this unwanted noise. In this paper features such as entropy, circularity, edge detection, and correlation are extracted from the image to distinguish normal and abnormal regions of a mammogram. Classification and detection of mammogram can be done by Possibilistic Fuzzy C Means algorithm and Support Vector Machine using extracted features.
Pattern based approach for Natural Language Interface to Database
Natural Language Interface to Database (NLIDB) is an interesting and widely applicable research field. As the name suggests an NLIDB allows a naive user to ask query to database in natural language. This paper presents an NLIDB namely Pattern based Natural Language Interface to Database (PBNLIDB) in which patterns for simple query, aggregate function, relational operator, short-circuit logical operator and join are defined. The patterns are categorized into valid and invalid. Valid patterns are directly used to translate natural language query into Structured Query Language (SQL) query whereas an invalid pattern assists the query authoring service in generating options for user so that the query could be framed correctly. The system takes an English language query as input, recognizes pattern in the query, selects one of the before mentioned features of SQL based on the pattern, prepares an SQL statement, fires it on database and displays the result.
Rekrytoimme tilitoimistoon sopivat ihmiset
Erkki J. Anttila: Rekrytoimme tilitoimistoon sopivat ihmiset www.leijonaksi.fi
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장유진 Portfolio
Zhang Eugene
Will: Life-style design, Provide vision.
Is:
愛敎 . Korean . Ceramic Arts .
Designer . Dreamer . Daughter .
"건들면 뭅니다" (똥고집 + 팔랑귀 + 숫자치 + 착각쟁이)
's Activity&Work
2006.03~2015.02 #Ceramics #Management @Ewha.uni
2010.03.01. #TDGkorea @Twitter
2011.03~2012.12 #TrendCaster @Urtrendnet
2012.02~03 #Backpacker @Europe
2013.01~06 #DesignStory @InnoDesign
2014.02.21~27 #GDEK
지금 내가 가장 잘 쓰일만한 곳을 찾는 중입니다.
Now I am finding a career.
E-mail.me: jjangeugene@gmail.com
Cхема заказа дипломной работы
Пошаговый алгоритм заказа дипломной работы в "Агентстве помощи студенту".
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[kent.edu.vn] Dem chung ket cuoc thi HOt VTeen 2014 - Mai Xuan Thu va Quynh H...
Tối ngày 15/1/2015, đêm Chung Kết và Trao giải Hot VTeen Toàn Quốc 2014 do báo VTM tổ chức tại White Palace do Kent International College www.kent.edu.vn tài trợ chính. Từ 10 gương mặt đêm chung kết sau 2 vòng thi năng khiếu, phỏng vấn BTC đã chọn 2 gương mặt là bạn Quỳnh Hương (Hà Nội) và bạn Mai Xuân Thứ (TP.HCM) được vinh danh trở thành đại sứ Hot VTeen 2014 cho kỳ tuyển chọn lần thứ 10 cuộc thi của tạp chí VTM.
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Atterberg Limits were initially defined in 1911, by Albert Atterberg, a Swedish scientist. Their purposes are to classifying cohesive soils and determine engineering properties of soils. According to ASTM, all the soils tested by Atterberg limits should be oven dried, it is because drying the soils in different degree will alter their properties significantly. Some of the physical properties of soils will undergo changes that appear to be permanent. Therefore, the soil samples should be in natural or air-dried form. However, in reality, due to time constraint and other factors, many will run the tests by using soil samples that are prepared by oven drying method. They assumed that there is no difference between the results of two types of drying method. However, in reality, the properties of soil will be affected and thus give a misleading result. The objective of this study is to determine the effect of two drying methods, air-drying method and oven drying method, on the soil plasticity. Six soil samples from different cities were tested. These tests include sieve analysis, specific gravity test, hydrometer analysis, Plastic limit and liquid limit test. Conclusively, the oven drying method could not replace the air-drying method in soil preparation for both Atterberg limits tests.
Tilitoimiston asiakaskeskeisyyden strategia
Erkki J. Anttila: Tilitoimiston asiakas-keskeisyyden strategia www.leijonaksi.fi
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The exponential growth of manufacturing industries and production and the increased need of accuracy and precision throws the spotlight on the nontraditional machining processes. The machining of metals and non-metals having special properties like high strength, high hardness and toughness is done by non- conventional machining methods. Wire electrical discharge machining is one of the earliest non-traditional machining processes. This machining process competes with conventional machining such as milling, broaching, grinding etc. However, its ability to cut extremely intricate and delicate shapes with utmost accuracy makes this process most suitable among all other processes. The otherwise hard to be machined materials like carbides, tungsten, zirconium etc. can be easily machined using this process. This paper reviews notable work done in the field of WEDM by various researchers.
Assessment of sanitation levels of sources of water in Osun State Capital, Ni...
A study of the physicochemical and bacteriological analysis including BOD and COD was carried out for sources of water in Oshogbo the Capital of the State of Osun. Seven water sampling areas were selected to cover the low, medium and high population density areas of the State Capital. Water samples were collected from five sources of water, namely, shallow well, borehole, stream, rain and river. Water samples were collected from the well, borehole and stream water sources from Dada Estate and Isale Oshun for low density population, Ayetoro, Ogo-Oluwa and Oke-Ayepe for medium density, and Oke-Bale and Igbona for high density population areas. Three sampling points were undertaken for the rain water source while River Oshun source at Isale-Oshun was the 25th water sampling point. A total of 25 water quality parameters were analyzed for each of the 25 water sources sampled using the facility at the Rural Water And Environmental Sanitation Agency, RUWESA in Osun State Government Secretariat in Abere. Results indicated that 8 of the water quality parameters, pH, Turbidity; Magnesium hardness, Free Chlorine, Nitrite, Bacteriological, BOD and COD were not within Standards Organization of Nigeria (SON) permitted water quality standards and are of concern to sanitation of potable water in the State Capital. The level of each parameter differs from source to source as well as from level of population densities. The sources that were adjudged polluted were Ogo-Oluwa and Oke-Ayepe well sources; Ogo-Oluwa, Oke-Bale and Igbona stream sources Oke-Bale Rain source.R and the River source at Isale-Oshun. The polluted sources are all within the medium and high population density areas of the State Capital.
Treatment of Sugarcane Industry Effluents: Science & Technology issues
The consumption of large volumes of water and the generation of organic compounds as liquid effluents are major environmental problems in sugarcane processing industry. The inadequate and indiscriminate disposal of this effluent in soils and water bodies has received much attention since decades ago, due to environmental problems associated to this practice. Because of the large quantities of effluent produced, alternative treatments have been developed. The low pH, electric conductivity, and chemical elements present in sugarcane effluent may cause changes in the chemical and physical–chemical properties of soils, rivers, and lakes with frequent discharges over a long period of time, and also have adverse effects on agricultural soils and biota in general. The sugar cane industry is among those industries with the largest water demands and, in addition, is an important source of non-toxic organic pollution combined with the fact that India it is second largest producer and largest consumer makes it all the more important. This paper examines the present status of sugarcane effluent, its characteristics and chemical composition. Keeping in view the relevant policy scenario in India, various available treatment technologies are discussed.
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This paper reports the geometric (constructal) optimization of T-shaped fin assemblies, where the objective is to maximize the global thermal conductance of the assembly, subject to total volume and fin-material constraints. Assemblies of plate fins are considered. It is shown that every geometric feature of the assembly is delivered by the optimization principle and the constraints. These optimal features are reported in dimensionless terms for this entire class of fin assemblies. Based on the constructal theory by Dr. A Bejan, T-shaped fins are developed for better heat conductance as compared to conventional fins. Now the geometry of this T type of fin contains many geometry parameters which affect the overall conductance of the fin. With the same material constraint and volume constraints optimal geometry ratios has been calculated so as to design the fin for its best performance. With focus to the practical situations and heat flow patterns, it is quite complex to calculate the temperatures on a T-shaped fin. It requires the help of FEA concepts and CAE software to optimize the geometry.
Automatic Road Extraction from Airborne LiDAR : A Review
LiDAR is the powerful Remote Sensing Technology for the acquisition of 3D information from terrain surface. This paper surveys the state of the art on automated road feature extraction from airborne Light Detection and Ranging (LiDAR) data. It presents a bibliography of nearly 50 references related to this topic. This includes work related to various main approaches used for extracting road from LiDAR data, Feature extraction based on classification and filtering.
장유진 Portfolio
Zhang Eugene
Will: Life-style design, Provide vision.
Is:
愛敎 . Korean . Ceramic Arts .
Designer . Dreamer . Daughter .
"건들면 뭅니다" (똥고집 + 팔랑귀 + 숫자치 + 착각쟁이)
's Activity&Work
2006.03~2015.02 #Ceramics #Management @Ewha.uni
2010.03.01. #TDGkorea @Twitter
2011.03~2012.12 #TrendCaster @Urtrendnet
2012.02~03 #Backpacker @Europe
2013.01~06 #DesignStory @InnoDesign
2014.02.21~27 #GDEK
지금 내가 가장 잘 쓰일만한 곳을 찾는 중입니다.
Now I am finding a career.
E-mail.me: jjangeugene@gmail.com
Cхема заказа дипломной работы
Пошаговый алгоритм заказа дипломной работы в "Агентстве помощи студенту".
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[kent.edu.vn] Dem chung ket cuoc thi HOt VTeen 2014 - Mai Xuan Thu va Quynh H...
[kent.edu.vn] Dem chung ket cuoc thi HOt VTeen 2014 - Mai Xuan Thu va Quynh H...
Effects of Soil and Air Drying Methods on Soil Plasticity of Different Cities...
Effects of Soil and Air Drying Methods on Soil Plasticity of Different Cities...
Trends in Wire Electrical Discharge Machining (WEDM): A Review
Trends in Wire Electrical Discharge Machining (WEDM): A Review
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Assessment of sanitation levels of sources of water in Osun State Capital, Ni...
Treatment of Sugarcane Industry Effluents: Science & Technology issues
Treatment of Sugarcane Industry Effluents: Science & Technology issues
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Automatic Road Extraction from Airborne LiDAR : A Review
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