【總結(jié)】數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘習(xí)題答案第1章數(shù)據(jù)倉(cāng)庫的概念與體系結(jié)構(gòu)1.面向主題的,相對(duì)穩(wěn)定的。2.技術(shù)元數(shù)據(jù),業(yè)務(wù)元數(shù)據(jù)。3.聯(lián)機(jī)分析處理OLAP。4.切片(Slice),鉆?。―rill-down和Roll-up等)。5.基于關(guān)系數(shù)據(jù)庫。6.數(shù)據(jù)抽取,數(shù)據(jù)存儲(chǔ)與管理。7.兩層架構(gòu),獨(dú)立型數(shù)據(jù)集市,依賴型數(shù)據(jù)集市和操作型
2025-06-28 17:57
【總結(jié)】2023年3月28日星期二DataMining:ConceptsandTechniques1數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘任課教師:工作單位:辦公地點(diǎn):聯(lián)系電話:QQ號(hào)碼:第1章數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘概述第1章數(shù)據(jù)倉(cāng)庫的興起數(shù)據(jù)挖掘的興起數(shù)據(jù)倉(cāng)庫和數(shù)據(jù)挖掘的結(jié)合
2025-03-09 13:12
【總結(jié)】0第二章數(shù)據(jù)倉(cāng)庫原理1第二章數(shù)據(jù)倉(cāng)庫原理?數(shù)據(jù)倉(cāng)庫定義?數(shù)據(jù)倉(cāng)庫特征?數(shù)據(jù)庫體系化環(huán)境?數(shù)據(jù)倉(cāng)構(gòu)造模式?數(shù)據(jù)倉(cāng)庫概念結(jié)構(gòu)?數(shù)據(jù)倉(cāng)庫中的數(shù)據(jù)組織?小節(jié)2?數(shù)據(jù)倉(cāng)庫中的數(shù)據(jù)組織?粒度?分區(qū)?維度?元數(shù)據(jù)
2025-09-25 17:57
【總結(jié)】數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘南京郵電大學(xué)信息產(chǎn)業(yè)發(fā)展戰(zhàn)略研究院朱恒民教材及參考書?教材JiaweiHan,數(shù)據(jù)挖掘概念與技術(shù)(中譯本),機(jī)械工業(yè)出版社?參考書-蘇新寧.數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘.北京:清華大學(xué)出版社-李志剛等.數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘的原理及應(yīng)用,高教出版社-安淑之等.數(shù)據(jù)挖掘與數(shù)據(jù)
2025-03-09 12:59
【總結(jié)】數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘DataWarehouseandDataMining數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘動(dòng)機(jī):為什么要進(jìn)行數(shù)據(jù)挖掘數(shù)據(jù)挖掘的步驟數(shù)據(jù)挖掘在什么數(shù)據(jù)上進(jìn)行數(shù)據(jù)挖掘功能和分類一些新的研究方向2動(dòng)機(jī):需要是發(fā)明之母數(shù)據(jù)爆炸問題自動(dòng)的數(shù)據(jù)收集工具和成熟的數(shù)據(jù)庫技術(shù)導(dǎo)致大量數(shù)據(jù)存放在數(shù)據(jù)庫、數(shù)據(jù)倉(cāng)庫和其它信息
2025-03-09 12:38
【總結(jié)】第1章數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘概述第1章數(shù)據(jù)倉(cāng)庫的興起數(shù)據(jù)挖掘的興起數(shù)據(jù)倉(cāng)庫和數(shù)據(jù)挖掘的結(jié)合數(shù)據(jù)倉(cāng)庫的興起?從數(shù)據(jù)庫到數(shù)據(jù)倉(cāng)庫?從OLTP到OLAP?數(shù)據(jù)字典與元數(shù)據(jù)?數(shù)據(jù)倉(cāng)庫的定義與特點(diǎn)從數(shù)據(jù)庫到數(shù)據(jù)倉(cāng)庫(1
2025-05-15 00:05
【總結(jié)】數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘?qū)嶒?yàn)報(bào)告姓名:巖羊先生班級(jí):數(shù)技2011學(xué)號(hào):XXXXXX實(shí)驗(yàn)日期:2013年11月14日目錄實(shí)驗(yàn) 4【實(shí)驗(yàn)?zāi)康摹?41、熟悉SQLservermanagerstudio和VisualStudio2008軟件功能和操作特點(diǎn); 42、了解S
2025-07-21 11:15
【總結(jié)】第7章:分類和預(yù)測(cè)nWhatisclassification?Whatisprediction?nIssuesregardingclassificationandpredictionnClassificationbydecisiontreeinductionnBayesianClassificationnClassification
2025-01-24 00:07
【總結(jié)】第二章數(shù)據(jù)倉(cāng)庫原理0第二章數(shù)據(jù)倉(cāng)庫原理?數(shù)據(jù)倉(cāng)庫定義?數(shù)據(jù)倉(cāng)庫特征?數(shù)據(jù)庫體系化環(huán)境?數(shù)據(jù)倉(cāng)構(gòu)造模式?數(shù)據(jù)倉(cāng)庫概念結(jié)構(gòu)?數(shù)據(jù)倉(cāng)庫中的數(shù)據(jù)組織?小節(jié)1?數(shù)據(jù)倉(cāng)庫中的數(shù)據(jù)組織?粒度?分區(qū)?維度?元數(shù)據(jù)
2025-03-09 09:08
【總結(jié)】Chapter20:DataAnalysis?Silberschatz,KorthandSudarshanDatabaseSystemConcepts-6thEditionChapter20:DataAnalysis?DecisionSupportSystems?DataWarehousing?DataM
2025-01-11 18:10
【總結(jié)】第5章數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘的決策支持?基本原理?知識(shí)發(fā)現(xiàn)與?數(shù)據(jù)挖掘?數(shù)據(jù)倉(cāng)庫系統(tǒng)?聯(lián)機(jī)分析處理?數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘的決策支持?jǐn)?shù)據(jù)倉(cāng)庫的支持系統(tǒng)決策支持系統(tǒng)醫(yī)藥信息工程學(xué)院.數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘的決策支持?jǐn)?shù)據(jù)倉(cāng)庫的基本原理數(shù)據(jù)倉(cāng)庫的興起
2025-05-13 01:59
【總結(jié)】第12章數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘基本概念?數(shù)據(jù)倉(cāng)庫定義數(shù)據(jù)倉(cāng)庫是一個(gè)面向決策主題的、集成的、時(shí)變的、非易失、以讀為主的數(shù)據(jù)集合。?數(shù)據(jù)倉(cāng)庫系統(tǒng)的分類Web數(shù)據(jù)倉(cāng)庫;并行數(shù)據(jù)倉(cāng)庫;多維數(shù)據(jù)倉(cāng)庫;壓縮數(shù)據(jù)倉(cāng)庫等。?OLAP定義OLAP是針對(duì)某個(gè)特定的主題進(jìn)行聯(lián)機(jī)數(shù)據(jù)訪問、處理和分析,通過直觀的方式從
2025-03-11 10:15
【總結(jié)】目錄1.緒論 2 2提出問題 22數(shù)據(jù)庫倉(cāng)庫與數(shù)據(jù)集的概念介紹 2 2 23數(shù)據(jù)倉(cāng)庫 3數(shù)據(jù)倉(cāng)庫的設(shè)計(jì) 3 3 3數(shù)據(jù)倉(cāng)庫的建立 3 3 4 4 4 4 45、實(shí)驗(yàn)心得 126、大總結(jié) 121.緒論在現(xiàn)在大數(shù)據(jù)時(shí)代,各行各業(yè)需要對(duì)商品及相關(guān)關(guān)節(jié)的數(shù)據(jù)進(jìn)行收集處理,
2025-06-25 07:21
【總結(jié)】數(shù)據(jù)倉(cāng)庫與數(shù)據(jù)挖掘陳昕數(shù)據(jù)挖掘的應(yīng)用—人文地理數(shù)據(jù)挖掘的應(yīng)用—娛樂傳媒數(shù)據(jù)挖掘的應(yīng)用—智慧城市數(shù)據(jù)挖掘的應(yīng)用—商業(yè)零售數(shù)據(jù)挖掘的應(yīng)用—Web推薦數(shù)據(jù)挖掘的應(yīng)用—體育競(jìng)技VS數(shù)據(jù)挖掘的應(yīng)用—大數(shù)據(jù)應(yīng)用信息安全輿情分析能效優(yōu)化商務(wù)智能與數(shù)據(jù)挖掘工具商務(wù)智
2025-03-09 12:44
【總結(jié)】一、多維數(shù)據(jù)模型二、數(shù)據(jù)倉(cāng)庫的系統(tǒng)結(jié)構(gòu)三、數(shù)據(jù)倉(cāng)庫的實(shí)現(xiàn)四、基于數(shù)據(jù)倉(cāng)庫的數(shù)據(jù)挖掘第二章數(shù)據(jù)倉(cāng)庫的OLAP技術(shù)第一節(jié)多維數(shù)據(jù)模型1.數(shù)據(jù)立方體數(shù)據(jù)倉(cāng)庫和OLAP工具基于多維數(shù)據(jù)模型,多維數(shù)據(jù)模型將數(shù)據(jù)看作數(shù)據(jù)立方體(datacube)形式。數(shù)據(jù)立方體允許以多維對(duì)數(shù)據(jù)建模和觀察,由維和
2025-03-09 12:40