1、簡練
簡練就是要簡短而精練，簡，要簡得明白，練要體現(xiàn)干練。讓人一看就覺得不敢多字也不得少字，且言簡意賅。要注意的是，簡練并不是用字?jǐn)?shù)來衡量的，而是從字與詞的結(jié)合中所表達(dá)的意義給人的感覺來判斷的。簡練的文題是用最少的字給人最明確的意義和感情傾向。
2、新穎
新穎是現(xiàn)代社會追求的一種潮流，無論什么時(shí)候，我們都不能忘了想出辦法讓自己的東西新穎，那就是用一種與眾不同的視角，道出自己的個(gè)性思考。但是，新穎決不是標(biāo)新立異，必須合情理。應(yīng)該說，我們所說的新穎只是別人想漏了的，或者說只是一時(shí)還沒有想到的，而決不是怎么想也想不通的，想不到的東西。
相信大家都聽說過，戶部巷烤面筋很出名
一、美麗中國夢，全民養(yǎng)花行
二、養(yǎng)花小事情，生態(tài)大環(huán)境
三、全民都養(yǎng)花，快樂你我他
四、全民養(yǎng)花，美麗萬家
五、全民養(yǎng)花，健康萬家
六、全民養(yǎng)花，怡情萬家
七、全民養(yǎng)花，幸福萬家
八、我愛我家，全民養(yǎng)花
九、全民養(yǎng)花，利國利家
十、全民養(yǎng)花，美滿中華
十一、全民養(yǎng)花，美麗中華
十二、綠色新時(shí)代，養(yǎng)花人人愛
十三、全民愛養(yǎng)花，中國美如畫
十四、全民動手養(yǎng)花，幸福撒滿世界
十五、青山綠水中國美，養(yǎng)花幸福地球村
十六、生活不止一面，養(yǎng)花不止于心
十七、不忘初心中國夢，全民養(yǎng)花齊踐行
見過了50個(gè)財(cái)務(wù)管理和會計(jì)方面的難度相對較大的題目，如下。
| [1]程文質(zhì).集團(tuán)內(nèi)間接購買債券抵銷的批判性分析[J/OL].會計(jì)之友,2020(18):82-88[2020-08-27].http://kns.cnki.net/kcms/detail/14.1063.F.20200827.0911.026.html. |
| [2]劉子怡,陳叢笑,邵君利.政府質(zhì)量、預(yù)算軟約束與政府會計(jì)準(zhǔn)則制度執(zhí)行效果——基于預(yù)算執(zhí)行審計(jì)和財(cái)政透明度的雙重視角[J/OL].審計(jì)與經(jīng)濟(jì)研究:1-11[2020-08-27].http://kns.cnki.net/kcms/detail/32.1317.F.20200826.1331.010.html. |
| [3]王廷章.綠色發(fā)展背景下碳會計(jì)核算與披露的再思考[J/OL].會計(jì)之友,2020(17):47-49[2020-08-27].http://kns.cnki.net/kcms/detail/14.1063.F.20200823.1422.016.html. |
| [4]陳昕.高新技術(shù)企業(yè)認(rèn)定研發(fā)費(fèi)用的會計(jì)處理分析——以“深天馬A”為例[J/OL].財(cái)會通訊:1-5[2020-08-27].https://doi.org/10.16144/j.cnki.issn1002-8072.20200821.001. |
| [5]張雪梅,陳嬌嬌.獨(dú)立董事聯(lián)結(jié)與會計(jì)穩(wěn)健性相似——政策選擇的模仿效應(yīng)研究[J/OL].現(xiàn)代財(cái)經(jīng)(天津財(cái)經(jīng)大學(xué)學(xué)報(bào)),2020(09):96-113[2020-08-27].https://doi.org/10.19559/j.cnki.12-1387.2020.09.007. |
| [6]薛玉蓮,孫夢娜,石青梅.欲益反損：會計(jì)穩(wěn)健性與企業(yè)創(chuàng)新——基于民營上市企業(yè)的經(jīng)驗(yàn)證據(jù)[J/OL].會計(jì)之友,2020(17):65-73[2020-08-27].http://kns.cnki.net/kcms/detail/14.1063.F.20200823.1422.022.html. |
| [7]謝華.政府會計(jì)制度下COSO框架在高職院校內(nèi)部控制中的應(yīng)用——以寧夏為例[J].商業(yè)經(jīng)濟(jì),2020(08):185-187. |
| [8]陳渙 余森林 雷剛 英山縣財(cái)政局 英山縣紀(jì)委. 英山推行“互聯(lián)網(wǎng)+會計(jì)工廠”新型財(cái)務(wù)記賬模式的實(shí)踐[N]. 黃岡日報(bào),2020-08-19(007). |
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| [15]李歡.新金融工具確認(rèn)和計(jì)量準(zhǔn)則對企業(yè)會計(jì)信息質(zhì)量的影響探討[J].財(cái)經(jīng)界,2020(02):164. |
| [16]胡剛.商譽(yù)后續(xù)計(jì)量方法對會計(jì)信息的影響與缺陷分析及應(yīng)對建議[J].財(cái)會學(xué)習(xí),2020(03):111-112. |
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| [21]許楠,劉浩,王天雨.非創(chuàng)始人CEO與會計(jì)信息質(zhì)量——基于A股創(chuàng)業(yè)板公司的經(jīng)驗(yàn)研究[J].會計(jì)研究,2016(08):18-24+96. |
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| [23]權(quán)小鋒,肖紅軍.社會責(zé)任披露對股價(jià)崩盤風(fēng)險(xiǎn)的影響研究:基于會計(jì)穩(wěn)健性的中介機(jī)理[J].中國軟科學(xué),2016(06):80-97. |
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| [34]肖序,熊菲.環(huán)境管理會計(jì)的PDCA循環(huán)研究[J].會計(jì)研究,2015(04):62-69+96. |
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| [41]黃亮華,謝德仁.IPO前的業(yè)績壓力、現(xiàn)金流約束與開發(fā)支出會計(jì)政策隱性選擇[J].南開管理評論,2014,17(06):72-82+138. |
| [42]毛洪濤,何熙瓊,蘇朦.呈報(bào)格式、個(gè)人能力與管理會計(jì)信息決策價(jià)值:一項(xiàng)定價(jià)決策的實(shí)驗(yàn)研究[J].會計(jì)研究,2014(07):67-74+97. |
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| [50]周曉蘇,吳錫皓.穩(wěn)健性對公司信息披露行為的影響研究——基于會計(jì)信息透明度的視角[J].南開管理評論,2013,16(03):89-100. |
有很多，我舉幾個(gè)例子，看看是不是你想要的，不是的話再問我。
論蘇軾詞的風(fēng)格特點(diǎn)
走進(jìn)詩詞,品味經(jīng)典——論蘇軾婉約詞的藝術(shù)特點(diǎn)
《江城子》中蘇軾的婉約豪放情懷解讀
蘇軾婉約詞作的藝術(shù)成就分析
韶秀深處是蒼涼——淺析蘇軾婉約詞的情趣意旨
論蘇軾愛情詩文的婉約情懷
正好我一朋友想做這方面的畢業(yè)論文，我就幫著搜了一下，看到quora上面有相關(guān)問題，但我對該領(lǐng)域了解不多（我畢設(shè)是搜索方面），就不多說，轉(zhuǎn)過來了，希望對你有幫助（比較忙，就不翻譯了）。
https://www.quora.com/What-is-a-good-bachelors-thesis-topic-in-data-miningWhat is a good bachelor's thesis topic in data mining?
A good bachelor's thesis requirements are about the same as a good PhD thesis.
(1) You are given some data set to analyze (or sometimes you have to collect data). The data is often in service of some real world problem.
(2) You formulate some possible algorithmic approaches to solving the problem. There should be a set of both simple and more advanced approaches in your plan. If you can solve the problem more simply, you should. If an advanced approach has utility, you should show its benefit over the simpler approaches.
(3) You iterate and optimize your algorithms as needed based on analysis and re-analysis of the data, but showing good data mining methodology (i.e. avoiding overfitting, keeping the false positive rate down, appropriately visualizing the data, etc).
In terms of raw topics, data mining is often not done in a vacuum but with respect to some data you are interested in analyzing from some secondary interest. Maybe you have an interest in personalized medicine, biology, neuroscience, or music. I mostly work on Robotics Robotics/Engineering domains so my PhD thesis is on all sorts of sensor data.
In general, as a data miner, you will gain an appreciation of techniques that can be broadly applicable to a wide variety of future problems, not just the current one you're solving. It should be worth noting that an exceptionally good thesis could advance data mining as a whole, instead of such application of data mining to a single domain. This can be difficult to scope for a bachelor's thesis and to show utility, but it has been done (i.e. see Machine Learning side of this field).
下面這個(gè)是說數(shù)據(jù)挖掘方面博士論文，也可以參考下。
How to choose a good thesis topic in Data Mining?How to choose a good thesis topic in Data Mining?
I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topicin data mining. Therefore, in this this post, I will address this question.
The first thing to consider is whether you want to design/improve data mining techniques, apply data mining techniques or do both. Personally, I think that designing or improving data mining techniques is more challenging than using already existing techniques. Moreover, you can make a more fundamental contribution if you work on improving data mining techniques instead of applying them. However, you need to be aware that improving data mining techniques may require better algorithmic and/or mathematics skills.
The second thing to consider is what kind of techniques you want to apply or design/improve? Data mining is a broad field consisting of many techniques such as neural networks, association rule mining algorithms, clustering and outlier detection. You should try to get some overview of the different techniques to see what you are more interested in. To get a rough overview of the field, you could read some introduction books on data mining such as the book by Tan, Steinbach & Kumar (Introduction to data mining) or read websites and articles related to data mining. If your goal is just to applydata mining techniques to achieve some other purpose (e.g. analysing cancer data) but you don’t know which one yet, you could skip this question.
The third thing to consider is which problems you want to solve or what you want to improve. This requires more thoughts. A good way is to look at recent good data mining conferences (KDD, ICDM, PKDD, PAKDD, ADMA, DAWAK, etc.) and journals (TKDE, TKDD, KAIS, etc.), or to attend conferences, if possible, and talk with other researchers. This helps to see what are the current popular topics and what kind of problems researchers are currently trying to solve. It does not mean that you need to work on the most popular topic. Working on a popular topic (e.g. social network mining) has several advantages. It is easier to get grants or in some case to get your papers accepted in special issues, workshops, etc. However, there are also some “older” topics that are also interesting even if they are not the current flavor of the day. Actually, the most important is that you find a topic that you like and will enjoy working on it for perhaps a few years of your life. Finding a good problem to work on can require to read several articles to understand what are the limitations of current techniques and decide what can be improved. So don’t worry. It is normal that it takes time to find a more specific topic.
Fourth, one should not forget that helping to choose a thesis topic is also the job of the professor that supervise the Master or Ph.D Students. Therefore, if you are looking for a thesis topic, it is good to talk with your supervisor and ask for suggestions. He should help you. If you don’t have a supervisor yet, then try to get a rough idea of what you like, and try to meet/discuss with professors that could become your supervisors. Some of them will perhaps have some research projects and ideas that they could give you if you work with them. Choosing a supervisor is a very important and strategic decision that every graduate student has to make. For more information about choosing a supervisor, you can read this post : How to choose a research advisor for M.Sc. / Ph.D ?
Lastly, I would like to discuss the common question “please give me a Ph.D. topic in data mining“, that I read on websites and that I sometimes receive in my e-mails. There are two problems with this question. The first problem is that it is too general. As mentioned, data mining is a very broad field. For example, I could suggest you some very specific topics such as detecting outliers in imbalanced stock market data or to optimize the memory efficiency of subgraph mining algorithms for community detection in social networks. But will you like it? It is best to choose something by yourself that you like. The second problem with the above question is that choosing a topic is the work that a researcher should do or learn to do. In fact, in research, it is equally important to be able to find a good research problem as it is to find a good solution. Therefore, I highly recommend to try to find a research topic by yourself, as it is important to develop this skill to become a successful researcher. If you are a student, when searching for a topic, you can ask your research advisor to guide you.
Also, just for fun, here is a Ph.D thesis title generator.
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我們學(xué)校的大神...
九月，久月
心懷（）總是春
心懷清風(fēng)總是春
心懷夏花總是春
心懷現(xiàn)實(shí)總是春
。。。想不起來了想起來的時(shí)候再說
用電腦：圖片的話，保存網(wǎng)頁，打開文件夾，找圖放得手機(jī)上 可以復(fù)制，就復(fù)制下來，放到TXT文本(不帶圖片)，帶圖可以放WORD（手機(jī)要好）手機(jī)： UC直接保存網(wǎng)頁 。
是不是給Word表格添加表頭？在Word2007中按下面步驟進(jìn)行：
1、下移Word表格。方法：鼠標(biāo)移過表格，表格左上角出現(xiàn)雙向十字箭頭，選中該箭頭向下拖動表格。
2、在表頭位置繪制文本框輸入表頭。方法：插入——文本——文本框——繪制文本框——輸入表頭內(nèi)容。
3、去掉表頭文本框邊框。方法：選中表頭文本框右擊——設(shè)置文本框格式——線條——顏色——無顏色——確定。另外要使表頭內(nèi)容居中。
用釘子刻在試塊上。表明制作日期和強(qiáng)度等級。
除了澆筑時(shí)間、混凝土標(biāo)號、澆筑部位，還有寫種類同條件還是標(biāo)養(yǎng)。
混凝土，簡稱為“砼（tóng）”：是指由膠凝材料將集料膠結(jié)成整體的工程復(fù)合材料的統(tǒng)稱。通常講的混凝土一詞是指用水泥作膠凝材料，砂、石作集料；與水（可含外加劑和摻合料）按一定比例配合，經(jīng)攪拌而得的水泥混凝土，也稱普通混凝土，它廣泛應(yīng)用于土木工程。
【BY-灌漿料】是以高強(qiáng)度材料作為骨料，以水泥作為結(jié)合劑，輔以高流態(tài)、微膨脹、防離析等物質(zhì)配制而成。它在施工現(xiàn)場加入一定量的水，攪拌均勻后即可使用。 灌漿料具有自流性好，快硬、早強(qiáng)、高強(qiáng)、無收縮、微膨脹；無毒、無害、不老化、對水質(zhì)及周圍環(huán)境無污染，自密性好、防銹等特點(diǎn)。在施工方面具有質(zhì)量可靠，降低成本，縮短工期和使用方便等優(yōu)點(diǎn)。從根本上改變設(shè)備底座受力情況，使之均勻地承受設(shè)備的全部荷載，從而滿足各種機(jī)械，電器設(shè)備（重型設(shè)備高精度磨床）的安裝要求，是無墊安裝時(shí)代的理想灌漿材料。
