以下是為大家整理的關(guān)于小學(xué)生英語(yǔ)讀后感范文的文章，供大家學(xué)習(xí)參考！
How to do research
-------reading after a science paper
These days , I am busy preparing my dissertation which is about web usage mining . I read some English papers and learnt much from them . And now , I want to say something about a paper titled “Web Usage Mining ：Discovery and Applications of Usage Patterns from Web Data”.
This is the first English paper I read about dissertation and gave me great help .
This paper is a review about web usage mining. It introduced web usage mining in detail . Although it is a little old for it was published in 2000 , its contents are very useful today . It is organized according to the sequence of web usage mining and the six main parts are introduction which tells me what is web usage mining , the sources and abstraction of web data , the three steps of web usage mining , taxonomy and project survey , websift overview , privacy issues . The third and fourth parts are most important . It had a list of existing project about web usage mining which I saw many times in other papers , but this paper is the one creating this list . Besides , it has been referred for more then twenty times . As we all know that , the higher the referred number is , the more important the paper is , so I consider this paper to be an important and successful one in this region.
In my opinion , the success of this paper dues to three reasons . The first reason is the profound computer knowledge owned by the authors . Web usage mining relates to many subjects , such as artificial intelligence , ontology , semantic analysis , but the most basic knowledge is computer science . The four authors are all professors of department of computer science and engineering in university of Minnesota . For myself , I am not major in computer science and I am not very good at computers , so I feel a little difficult to understand technologies used in this region.
Second , they had read a large number of papers before they wrote this paper . There are fifty nine references listed after main contents . “Stand on the shoulders of giants” , this sentence tell us a truth : one can never successful all by oneself . And what’s more , learn from others can save a lot of time and energy , especially for us new learner . How to learn from others is a skill all of us should master , but learning doesn’t mean copy or plagiary . Other people’s knowledge and production is just our foundation , upon this foundation , we must have our own thoughts and creation. There are many remarks in this paper where referred other’s production.
Third , the authors had the experience of developing a web usage mining project . They don’t just engage in idle theorizing , so their comprehension on this issue is greatly profound. They know what we may meet in a real project development and they know how to resolve them . After reading this paper , I also read some other papers written in Chinese . Some of them are not based on real project and can not give useful resolution . Websift is the name of system they developed which can be used to data mining and analysis .
I wrote this article not only because it gave me much help in preparing my dissertation , but also because it tells me how to study and how to do research . Honesty and preciseness are two essential making a researcher must have . Hard-working is the necessary condition leading to success . This is just the beginning of my dissertation , I should learn from these four authors , both their knowledge and their attitude to study.
How to do research
-------reading after a science paper
These days , I am busy preparing my dissertation which is about web usage mining . I read some English papers and learnt much from them . And now , I want to say something about a paper titled “Web Usage Mining ：Discovery and Applications of Usage Patterns from Web Data”.
This is the first English paper I read about dissertation and gave me great help .
This paper is a review about web usage mining. It introduced web usage mining in detail . Although it is a little old for it was published in 2000 , its contents are very useful today . It is organized according to the sequence of web usage mining and the six main parts are introduction which tells me what is web usage mining , the sources and abstraction of web data , the three steps of web usage mining , taxonomy and project survey , websift overview , privacy issues . The third and fourth parts are most important . It had a list of existing project about web usage mining which I saw many times in other papers , but this paper is the one creating this list . Besides , it has been referred for more then twenty times . As we all know that , the higher the referred number is , the more important the paper is , so I consider this paper to be an important and successful one in this region.
In my opinion , the success of this paper dues to three reasons . The first reason is the profound computer knowledge owned by the authors . Web usage mining relates to many subjects , such as artificial intelligence , ontology , semantic analysis , but the most basic knowledge is computer science . The four authors are all professors of department of computer science and engineering in university of Minnesota . For myself , I am not major in computer science and I am not very good at computers , so I feel a little difficult to understand technologies used in this region.
Second , they had read a large number of papers before they wrote this paper . There are fifty nine references listed after main contents . “Stand on the shoulders of giants” , this sentence tell us a truth : one can never successful all by oneself . And what’s more , learn from others can save a lot of time and energy , especially for us new learner . How to learn from others is a skill all of us should master , but learning doesn’t mean copy or plagiary . Other people’s knowledge and production is just our foundation , upon this foundation , we must have our own thoughts and creation. There are many remarks in this paper where referred other’s production.
Third , the authors had the experience of developing a web usage mining project . They don’t just engage in idle theorizing , so their comprehension on this issue is greatly profound. They know what we may meet in a real project development and they know how to resolve them . After reading this paper , I also read some other papers written in Chinese . Some of them are not based on real project and can not give useful resolution . Websift is the name of system they developed which can be used to data mining and analysis .
I wrote this article not only because it gave me much help in preparing my dissertation , but also because it tells me how to study and how to do research . Honesty and preciseness are two essential making a researcher must have . Hard-working is the necessary condition leading to success . This is just the beginning of my dissertation , I should learn from these four authors , both their knowledge and their attitude to study.