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A New Approach of Feature Selection for Text Categorization

Wuhan University Journal of Natural Sciences 2006年第5期11卷 1335-1339页

作者： CUI Zifeng XU Baowen ZHANG Weifeng XU Junling School of Computer Science and Engineering Southeast University Nanjing 210096 Jiangsu China Department of Computer Science and Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003 Jiangsu China

This paper proposes a new approach of feature selection based on the independent measure between features for text categorization. A fundamental hypothesis that occurrence of the terms in documents is independent of each other, widely used in the probabilistic models for text categorization （TC）, is discussed. However, the basic hypothesis is incom plete for independence of feature set. From the view of feature selection, a new independent measure between features is designed, by which a feature selection algorithm is given to ob rain a feature subset. The selected subset is high in relevance with category and strong in independence between features, satisfies the basic hypothesis at maximum degree. Compared with other traditional feature selection method in TC （which is only taken into the relevance account）, the performance of feature subset selected by our method is prior to others with experiments on the benchmark dataset of 20 Newsgroups.

关键词： feature selection independency chi square test text categorization

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A Participatory Assessment of the Impact of Flooding in Some Communities in Lokoja, Kogi State, Nigeria

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American Journal of Climate Change 2021年第1期10卷 12-31页

作者： Felix Ndukson Buba Samam Obaguo Okibe Ogah Felicia Oluwatoyin Ajayi African Regional Centre for Space Science and Technology Education in English (ARCSSTE-E) Obafemi Awolowo University Campus Ile-Ife Nigeria

The frequency and consequences of extreme flood events have increased in recent times, having huge impact on the socio-economic well-being of nations with the most significant impact being felt at the community level. Flooding is the most common environmental hazard in Nigeria, particularly Lokoja, with the frequency, intensity, and extent likely to increase due to the effects of global warming leading to climate change such as sea level rise, more intensive precipitation levels, and higher river discharges. While destructive impacts of flood events continue to increase, flood managers in Nigeria have continued to implement a top-down approach towards mitigating these impacts, without involving affected communities in planning and implementation of mitigation strategies. This study therefore employed a participatory approach to determine the causes and impact of flooding in the study area. Participatory research tools such as key informant interviews, focus group discussions, and questionnaire surveys using the purposive sampling method were deployed to elicit data on the perception of the communities about the causes and impact of flood events. Descriptive statistical analysis was performed to elucidate the major causes and areas of impact while qualitative analysis was carried out to corroborate the results and to make for a robust outcome. The chi square test analysis was performed to empirically establish a relationship between the impacts and flooding. Results show that major causes of flooding are the release of water from dams (83% in Adankolo, 97% in Gadumo, and 100% in Ganaja), overflow of rivers, and heavy rainfall while flooding affects economic concerns, property and basic amenities. The chi square test analysis determined empirically that a relationship exists between several areas of impact and flood occurrence. The research concludes that participatory flood research approach can provide flood managers and decision makers a bottom-up approach for effe

关键词： Flood Impact Participatory Approach chi square test Top-Down Bottom-Up Mitigation

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Probability Distribution of the Monthly Passenger Flow from Chongqing to Yichang and Monte Carlo Simulation

Probability Distribution of the Monthly Passenger Flow from ...

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2013年中国智能自动化学术会议

作者： Peng Wan Shoujiang Zhao Jian Li Ni Zhan School of Science China Three Gorges University

Based on the data of each section’s monthly passenger flow from 2006 to 2009,this paper studied the probability distribution of passenger flow from Chongqing to Yichang by use of mathematical analysis *** the chisquare testing,the monthly passenger flow of Chongqing and Three Gorges are accord with the normal distribution,while Yichang’s is accord with the exponential *** monthly passenger flow from Chongqing to Yichang(the sum of the monthly passenger flow of Chongqing,Three Gorges and Yichang) is close to normal distribution which is approved by monte carlo method.

关键词： Passenger flow Monte carlo chi square test Exponential distribution Normal distribution

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