... Kimball and Ross [KR02], Imhoff, Galemmo, and
Geiger [IGG 03] , Inmon [Inm96], Berson and Smith [BS97b], and Thomsen [Tho97].
134 Chapter 3 Data Warehouse and OLAP Technology: An Overview
3. 3 .3 Data ... processing, and data
mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that
integrates OLAP with data mining technology.
3. 5.1...
... Querying
Multidimensional Databases 126
3. 3 Data Warehouse Architecture 127
3. 3.1 Steps for the Design and Construction of Data Warehouses 128
3. 3.2 A Three-Tier Data Warehouse Architecture 130
3. 3 .3 Data Warehouse ... Statistical Data Mining 666
11 .3. 3 Visual and Audio Data Mining 667
11 .3. 4 Data Mining and Collaborative Filtering 670
11.4 Social Impac...
... both data warehousing and data mining,
as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessing
includes data cleaning, data integration, data transformation, and data ... noise, and inconsistencies contribute to inaccurate data. So far, we have
looked at techniques for handling missing data and for smoothing data. “But data cle...
... data
mining. Descriptive data 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, ... (d
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... 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 [HSG90] ), and ... described in
Preparata and Shamos [PS85]. References on case-based reasoning (CBR) include the
texts Riesbeck and Schank [RS89] and Kolodner [Kol 93] , as well a...
... efficiently.
8
Mining Stream, Time-Series,
and Sequence Data
Our previous chapters introduced the basic concepts and techniques of data mining. The techniques
studied, however, were for simple and structured ... structured data sets, such as data in relational
databases, transactional databases, and data warehouses. The growth of data in various
complex forms (e.g....
... substructures.
9. Metadata mining. Metadata are data about data. Metadata provide semi-structured
data about unstructured data, ranging from text and Web data to multimedia data-
bases. It is useful for data ... 0.10
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... multimedia data mining focuses on image data mining.
Mining text data and mining the World Wide Web are studied in the two subsequent
638 Chapter 10 Mining Object, Spatial, Multimedia, Text, and Web Data
where ... closely linked to image
analysis and scientific data mining, and thus many image analysis techniques and scien-
tific data analysis methods can be a...
... constraint-based
mining) , the integration of data mining with data warehousing and database systems,
the standardization of data mining languages, visualization methods, and new meth-
ods for handling ... complex data types. Other trends include biological data mining,
mining software bugs, Web mining, distributed and real-time mining, graph mining,
social network...