本文關(guān)鍵詞： 數(shù)字電視 收視率 模塊設(shè)計 預(yù)測 網(wǎng)絡(luò)　出處：《電子科技大學(xué)》2010年碩士論文　論文類型：學(xué)位論文

【摘要】：電視頻道收視率是一項非常重要的指標,不僅關(guān)系到電視臺頻道在群眾中的口碑并且對電視臺自身經(jīng)營效益也有巨大的影響;另一方面需要在電視臺購買廣告時間的企業(yè)客戶而言,電視臺收視率的高低也直接影響到購買廣告時間價格的高低,對那些希望更好的宣傳自己產(chǎn)品的企業(yè)來說高的電視臺收視率無疑會帶來更好的效果沒有競爭力的頻道則無疑只會浪費企業(yè)的時間與金錢,或者企業(yè)會選擇將一些不重要的品牌放到這些具有低收視率的頻道播放。 在本文中主要研究了電視的收視率數(shù)據(jù)的測試與預(yù)測模塊,主要是從特定的時間段的角度進行了論證和分析研究,電視收視率測試數(shù)據(jù)是以時間為序列來進行表述的,是將每天的某個預(yù)定的時間段來進行提取和分析電視的收視率,在此時間周期段內(nèi)是按照分鐘數(shù)每間隔一分鐘對收視率進行收集這樣一來就可以得到數(shù)量巨大的測試數(shù)據(jù),采用是基于時間的序列來進行分析并以分類預(yù)測的算法對電視的收視率進行科學(xué)的預(yù)測。本軟件系統(tǒng)預(yù)測模塊主要功能包括如下的幾個部分:一是系統(tǒng)模塊的邏輯與控制部分,其收視率模塊來負責控制整個系統(tǒng)邏輯運算與控制;二是對數(shù)據(jù)進行輸入的功能模塊,這部分提供對各類的格式的數(shù)據(jù)的輸入并對測試數(shù)據(jù)進行相應(yīng)的預(yù)處理并將讀入的數(shù)據(jù)以某種特定的方式進行相應(yīng)的運算并存儲,這里面涉及到各類數(shù)據(jù)結(jié)構(gòu)其目的是如何去滿足各種不同的應(yīng)用。 本研究課題首先論述了電視收視率預(yù)測的國內(nèi)外現(xiàn)狀隨后后提出了收視率數(shù)據(jù)形式且對于收視率得測試數(shù)據(jù),本研究課題的創(chuàng)新在于利用數(shù)據(jù)挖掘的分類技術(shù)預(yù)測頻道收視率的方法,包括對貝葉斯分類及決策樹的分類與學(xué)習,并且對于實際的測試數(shù)據(jù)而建立了模型進行了相關(guān)的預(yù)測分析。使用數(shù)據(jù)的挖掘分類的方法在理論上是行得通的但只能預(yù)測不知道的收視率測試數(shù)據(jù)并且不能得到實際的收視率數(shù)據(jù)值,本研究課題提出了相應(yīng)的軟件系統(tǒng),并對該系統(tǒng)主要框架、主要模塊及相互間的交互行為、主要接口進行了設(shè)計來解決頻道的收視率的預(yù)測的問題,該系統(tǒng)模塊就目前的需求與和潛在的不知道的需求領(lǐng)域按照軟件工程的基本原則利用面向?qū)ο蟮乃枷脒M行的設(shè)計來盡量的減小模塊之間的耦合性使系統(tǒng)具有很好的可擴展性并留有將來的升級接口。
[Abstract]:TV channel rating is a very important indicator, which not only relates to the public reputation of TV channel, but also has a huge impact on the operating efficiency of TV station itself. On the other hand, for corporate customers who need to buy advertising time in television stations, the ratings of television stations also directly affect the price of the time they buy advertisements. For companies that want to promote their products better, high ratings will no doubt lead to better results. Uncompetitive channels will no doubt only waste their time and money. Or companies will choose to put unimportant brands on channels with low ratings. In this paper, we mainly study the test and prediction module of TV ratings data, mainly from the point of view of a specific time period. The test data of TV ratings are expressed in time series. Is to extract and analyze the TV ratings at a predetermined time period of the day, and in this period of time, to collect the ratings per minute of minutes, so that you can get a huge amount of test data. This software system forecast module mainly includes the following several parts: first, the logic and control part of the system module, the first part is the logic and control part of the system module, and the main functions of the software system prediction module are as follows: first, the logic and control part of the system module, the main functions of the software system prediction module are as follows: 1. The ratings module is responsible for controlling the logic operation and control of the whole system. This section provides the input of data in various formats and the corresponding preprocessing of the test data and the operation and storage of the read data in a certain way. This involves all kinds of data structures whose purpose is to meet a variety of different applications. This research topic first discusses the domestic and foreign present situation of TV ratings prediction and then puts forward the form of ratings data and gets the test data for ratings. The innovation of this research is to use the classification technology of data mining to predict channel ratings, including the classification and learning of Bayesian classification and decision tree. The method of mining and classifying data using data is feasible in theory but can only predict the unknown ratings test data and can not be obtained. To the actual ratings data value, In this paper, the corresponding software system is put forward, and the main frame, the main modules and the interaction between each other, the main interface are designed to solve the problem of channel rating prediction. According to the basic principles of software engineering, the system module is designed to minimize the coupling between modules according to the basic principles of software engineering to minimize the coupling between modules. Extensibility with future upgrade interfaces.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：TN949.197;G223

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