... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider WorldMalcolm Chisholm Data Mining: Conceptsand Techniques Jiawei Hanand Micheline Kamber Understanding SQL and Java ... Statistical DataMining 66611.3.3 Visual and Audio DataMining 66711.3.4 DataMiningand Collaborative Filtering 67011.4 Social Impacts of DataMining 67511.4.1 Ubiquitous and Invisible DataMining ... object-relational databases and specific application-oriented databases, such as spatial databases, time-series databases,text databases, and multimedia databases. The challenges andtechniques of mining...
... the original data. PCA is computationally inexpensive, can be applied to ordered and unorderedattributes, and can handle sparse dataand skewed data. Multidimensional data of more than two dimensions ... (inclusive).2.3 Data Cleaning 652.3.3 Data Cleaning as a ProcessMissing values, noise, and inconsistencies contribute to inaccurate data. So far, we havelooked at techniques for handling missing dataand ... 972.7Summary Data preprocessing is an important issue for both data warehousing anddata mining, as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessingincludes data cleaning,...
... processing, and data mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm thatintegrates OLAP with datamining technology.3.5.1 Data Warehouse Usage Data warehouses anddata ... summarized data in a data warehouse sets a solid foundation for successful data mining. Moreover, we also believe that datamining should be a human-centered process.Rather than asking a datamining ... Warehouse and OLAP Technology: An Overview3.5From Data Warehousing to Data Mining “How do data warehousing and OLAP relate to data mining? ” In this section, we study theusage of data warehousing...
... include data cube–based data aggregation and attribute-oriented induction.From a data analysis point of view, data generalization is a form of descriptive data mining. Descriptive datamining ... Cercone, andHan [CCH91] and further extended by Han, Cai, and Cercone [HCC93], Hanand Fu [HF96], Carter and Hamilton [CH98], and Han, Nishio, Kawano, and Wang [HNKW98].4.3 Attribute-Oriented Induction—An ... mining describes data in a concise and summarative manner and presents interesting general properties of the data. This is different from predic-tive data mining, which analyzes data in order to...
... R1,R1: IF age = youth AND student = yes THEN buyscomputer = yes.The“IF”-part(or left-hand side) of a rule isknown astheruleantecedentorprecondition.The “THEN”-part (or right-hand side) isthe rule ... scalability.While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit intomemory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure.SPRINT removes ... even for real-world data. RainForest has techniques, however, for handlingthe case where the AVC-group does not fit in memory. RainForest can use any attributeselection measure and was shown to...
... functions(Hanson and Burr [HB88]), dynamic adjustment of the network topology (Me´zard and Nadal [MN89], Fahlman and Lebiere [FL90], Le Cun, Denker, and Solla [LDS90], and Harp, Samad, and Guha ... data in preparation for classification and prediction can involve data cleaning to reduce noise or handle missing values, relevance analysis to removeirrelevant or redundant attributes, anddata ... described inPreparata and Shamos [PS85]. References on case-based reasoning (CBR) include thetexts Riesbeck and Schank [RS89] and Kolodner [Kol93], as well as Leake [Lea96] and Aamodt and Plazas [AP94]....
... faster than the viii Basic ODM Concepts 1-11Basic ODM Concepts Oracle9i DataMining (ODM) embeds datamining within the Oracle9i database. The data never leaves the database — the data, data ... SQL/MM for Data Mining. JDM has also influenced these standards. Oracle9i DataMining will comply with the JDM standard when that standard is published.1.2.2 DataMining ServerThe DataMining ... main components:■Oracle9i DataMining API ■ Data Mining Server (DMS)1.2.1 Oracle9i DataMining APIThe Oracle9i DataMining API is the component of Oracle9i DataMining that allows users to...
... of techniques to apply in a particular situation depends on the nature of the datamining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... By data mining, of course! How DataMining Was Applied Most datamining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... that, on a technical level, the datamining effort is working and the data is reasonably accurate. This can be quite comforting. If the dataand the dataminingtechniques applied to it are powerful...