报告题目如何高大上？

一、报告题目如何高大上？

1、简练

简练就是要简短而精练，简，要简得明白，练要体现干练。让人一看就觉得不敢多字也不得少字，且言简意赅。要注意的是，简练并不是用字数来衡量的，而是从字与词的结合中所表达的意义给人的感觉来判断的。简练的文题是用最少的字给人最明确的意义和感情倾向。

2、新颖

新颖是现代社会追求的一种潮流，无论什么时候，我们都不能忘了想出办法让自己的东西新颖，那就是用一种与众不同的视角，道出自己的个性思考。但是，新颖决不是标新立异，必须合情理。应该说，我们所说的新颖只是别人想漏了的，或者说只是一时还没有想到的，而决不是怎么想也想不通的，想不到的东西。

二、高大上面筋名字？

相信大家都听说过，户部巷烤面筋很出名

三、养花的题目怎么写的高大上？

一、美丽中国梦，全民养花行

二、养花小事情，生态大环境

三、全民都养花，快乐你我他

四、全民养花，美丽万家

五、全民养花，健康万家

六、全民养花，怡情万家

七、全民养花，幸福万家

八、我爱我家，全民养花  

九、全民养花，利国利家 

十、全民养花，美满中华

十一、全民养花，美丽中华

十二、绿色新时代，养花人人爱

十三、全民爱养花，中国美如画

十四、全民动手养花，幸福撒满世界

十五、青山绿水中国美，养花幸福地球村

十六、生活不止一面，养花不止于心

十七、不忘初心中国梦，全民养花齐践行

四、你见过哪些高大上的论文题目？

见过了50个财务管理和会计方面的难度相对较大的题目，如下。

五、文学类论文题目怎么显得高大上？

有很多，我举几个例子，看看是不是你想要的，不是的话再问我。

论苏轼词的风格特点

走进诗词,品味经典——论苏轼婉约词的艺术特点

《江城子》中苏轼的婉约豪放情怀解读

苏轼婉约词作的艺术成就分析

韶秀深处是苍凉——浅析苏轼婉约词的情趣意旨

论苏轼爱情诗文的婉约情怀

六、如何拟出高大上的毕业论文题目？

正好我一朋友想做这方面的毕业论文，我就帮着搜了一下，看到quora上面有相关问题，但我对该领域了解不多（我毕设是搜索方面），就不多说，转过来了，希望对你有帮助（比较忙，就不翻译了）。

What 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).

下面这个是说数据挖掘方面博士论文，也可以参考下。

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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七、你见过哪些高大上的记叙文题目？

我们学校的大神...

九月，久月

心怀（）总是春

心怀清风总是春

心怀夏花总是春

心怀现实总是春

。。。想不起来了想起来的时候再说

八、猿题库上面的题目怎样保存？

用电脑：图片的话，保存网页，打开文件夹，找图放得手机上 可以复制，就复制下来，放到TXT文本(不带图片)，带图可以放WORD（手机要好）手机： UC直接保存网页 。

九、如何在已有表格上面添加题目？

是不是给Word表格添加表头？在Word2007中按下面步骤进行：

1、下移Word表格。方法：鼠标移过表格，表格左上角出现双向十字箭头，选中该箭头向下拖动表格。

2、在表头位置绘制文本框输入表头。方法：插入——文本——文本框——绘制文本框——输入表头内容。

3、去掉表头文本框边框。方法：选中表头文本框右击——设置文本框格式——线条——颜色——无颜色——确定。另外要使表头内容居中。

十、混凝土试块和灌浆料试块上面应该如何标注日期？

用钉子刻在试块上。表明制作日期和强度等级。

除了浇筑时间、混凝土标号、浇筑部位，还有写种类同条件还是标养。

混凝土，简称为“砼（tóng）”：是指由胶凝材料将集料胶结成整体的工程复合材料的统称。通常讲的混凝土一词是指用水泥作胶凝材料，砂、石作集料；与水（可含外加剂和掺合料）按一定比例配合，经搅拌而得的水泥混凝土，也称普通混凝土，它广泛应用于土木工程。

【BY-灌浆料】是以高强度材料作为骨料，以水泥作为结合剂，辅以高流态、微膨胀、防离析等物质配制而成。它在施工现场加入一定量的水，搅拌均匀后即可使用。 灌浆料具有自流性好，快硬、早强、高强、无收缩、微膨胀；无毒、无害、不老化、对水质及周围环境无污染，自密性好、防锈等特点。在施工方面具有质量可靠，降低成本，缩短工期和使用方便等优点。从根本上改变设备底座受力情况，使之均匀地承受设备的全部荷载，从而满足各种机械，电器设备（重型设备高精度磨床）的安装要求，是无垫安装时代的理想灌浆材料。