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The steady advance and healthful development of new countryside construction must depend on the scientific planning. The planning must be based on the correct, complete and good-currency status maps. Aiming to the urgent needs in practice, four approaches to producing status base maps, including integrated approach, generalized approach, updated approach and real-surveyed approach, are comparatively...
Deep mining will definitely cause high temperature mining face. This paper induces the primary and secondary importance of different factors that affect the thermal environment of high temperature working face by field data analysis and heat transmission mechanism analysis. It also shows the technical economical comparison and the effect analysis of different regulation technology and cooling methods...
The reasonable evaluation of forestry land is the basis of marketization of the forestry assets. Based on the evaluation data for 325 forestry lands from seven forest farms of Ning'an city, which is intended to transfer in the country, this paper takes Larch, mongolian scots pine and larch-mongolian mixed forests as instances to establish CHAID decision tree model in order to classify and analyze...
Construction of underground natural gas storage is a large, complex, with multi-objective nature of the projects. Vague Sets Based on Underground Gas Storage solution design are optimized. Examples show that it is convenient and feasible. Proposed single-value data into the data of the formula Vague, Vague sets introduce new similarity measures between the new formula, these two types of formula as...
The increasing availability of huge amounts of data pertaining to time and position of moving objects generated by different sources using a wide variety of technologies (e.g., RFID tags, GPS, GSM networks) leads to large spatial data collections. Mining such amounts of data is challenging, since the possibility to extract useful information from this peculiar kind of data is crucial in many application...
This paper generalized the concept and the methods of Data Mining which based on drug suppression intelligence, analyzed the systemic construction and the work flow of Data Mining, pointed out the actuality of the Data Mining.
Frequent patterns mining is an important data mining task with many real-world applications. By considering different weights of the items, weighted frequent pattern mining can discover more important knowledge compared to traditional frequent patterns mining. In this paper, we presented a new algorithm called SMFPM to discover weighted frequent patterns over data streams, the proposed method is based...
A model of database anomalous detection is designed in this paper. The model can not only describe the users' behavioral profile more accurately, but also improve the accuracy of database anomalous detection. Based on the designed model, Apriori-kl algorithm, which combines the K-means clustering algorithm with the improved Apriori algorithm, is presented to mine users' behavior profile preferably...
Network security is becoming an increasingly important issue, since the rapid development of the Internet. Network Intrusion Detection System (IDS), as the main security defending technique, is widely used against such malicious attacks. Data mining and machine learning technology has been extensively applied in network intrusion detection and prevention systems by discovering user behavior patterns...
Data mining has attracted a great deal of attention in higher education in recent years, not only in student's management, but also teacher's management, such as individualized personnel training, prediction and comparison on students' achievement, online teaching, teaching effectiveness evaluation, and so on. However, the research and application of data mining technology to teachers' position settlement...
The urban growth trends of the key metropolitan cities of India ,in the post economic reforms era beginning 1991, are characterized by a multitude of problems associated with low density, low rise and unregulated sprawl without adequate infrastructure, leading to loss of fertile agricultural lands and other phenomenon of unsustainable urban development. The paper, after discussing the present pattern...
This study was aimed at investigating the factors influencing value in pursuing studies at private vocational schools and the level of such factors. The sample consisted of 379 students of 53 private vocational schools, which were selected through stratified random sampling. The instrument used for collecting the data was the questionnaire with reliability of 0.987 that consisted of three parts: Part...
Information technology today is recognized as an effective tool for catalyzing the economic activity in efficient governance and in developing human resource. As the era of digital economy evolves, the concept of good governance assumes a greater significance. It is expected that in this context the electronic governance will result in improved transparency, speedy information, dissemination, higher...
There has been a large amount of research into the development of automated systems for creating school timetables. Methodologies such as constraint programming, simulated annealing, and Tabu search have been applied to many school timetabling problems. The research presented in this paper forms part of work-in-progress aimed at evaluating genetic algorithms as a means of solving the school timetabling...
Recent advances in ultra lightweight communications and sensor devices have ushered in a new range of applications to incorporate location awareness into mission critical situations such as remote health monitoring of chronically ill patients or emergency response personnel. However, in an open environment where these devices could potentially operate in the future, reliable and accurate positioning...
Predicting university admission is a complex decision making process that is more than merely relying on test scores. It is known by researchers that students' backgrounds and other factors correlate to the performance of their tertiary education. This paper proposes a hybrid model of neural network and decision tree classifier that predicts the likelihood of which university a student may enter,...
A case study of designing an effective e-learning framework is presented here which demonstrates how conventional learning methods can be supplemented with e-learning methods, to enhance the efficiency of teaching and learning process. Evolutions are happening in teaching and learning process with introduction of Web based learning methods. Some of the problems and limitations reported on e-learning...
This report discusses the merits and limitations of the two main choices of learning and teaching method which are the traditional learning (t-learning) and electronic learning (e-learning) methods. On the basis of this comparison and evaluation, the report suggests the blended learning (b-learning) method as an effective alternative approach for teaching and learning process. The term b-learning...
This paper discusses an ePortfolio initiative for engineering and science students at Massey University, New Zealand. Eportfolios are electronic version of portfolios that are extensively used in arts and education. We have introduced ePortfolios to our students to impart life long learning skills at university-level. We have chosen open source portfolio (OSP) management tool and customized it to...
Department's course scheduling problem involves assigning courses, timeslots, and rooms to faculty members. However, due to the large number of constraints that must be handled, searching for an optimal solution for course scheduling problem is considered to be a complex and a time-consuming task. Methods used nowadays in many educational institutes depend on a manual process that is performed by...
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