relational and dimensional data modeling concepts

... Physical Standby and Cascaded Remote Physical Standby C-5 C.3.2 Local Physical Standby and Cascaded Remote Logical Standby C-5 C.3.3 Local and Remote Physical Standby and Cascaded Local Logical Standby ... is applied to the standby database. A standby database can be one of two types: a physical standby database or a logical standby database. If needed, either type of standby database can assume ... Physical and Logical Standby Databases ■ New Features Specific to Physical Standby Databases ■ New Features Specific to Logical Standby Databases New Features Common to Physical and Logical Standby Databases The...

Ngày tải lên: 26/10/2013, 22:15

... model supports. The relational database is the standard database supported by the Data Modeling UML profile. An object relational database, an extension of the relational database, is also supported ... traditional data modeling as well as some familiarity with the UML. Database The Database is the system for data storage and controlled access to stored data. It is the biggest element a data model ... columns and it can also exist on a single column. Summary With the data modeling for UML profile, the UML fully supports data modeling needs. It allows the support of software development and data modeling...

Ngày tải lên: 10/12/2013, 15:15

... information, see Develop Complex Data Models and Design Databases course description. Overview of Data Modeling and Database Design 8Ć9 Database Design Designing a relational database system involves ... top slide. Answer: 1:1 Husband and wife; taxi and driver; machine and operator; ship and dock. M:1 Orders and items; auto and occupants; plane and passengers M:M Employees and skills; products and warehouses. Have ... enforce data integrity. Overview of Data Modeling and Database Design 8Ć3 Objectives Before you build your tables, you design your database. In this lesson, you examine the data modeling process and...

Ngày tải lên: 10/12/2013, 17:15

... Overview of Data Modeling and Database Design 8 Overview of Data Modeling and Database Design 8Ć5 Overview When you create a database, you need to carefully consider ... Overview of Data Modeling and Database Design 8Ć29 Designing the Database The database design stage produces design specifications for a relational database, including definitions for relational ... lesson, you examine the data modeling process and relational database concepts, and define normalization. You also translate an entity relationship model into a relational database design. At the...

Ngày tải lên: 21/12/2013, 06:17

... include object -relational databases and specific application-oriented databases, such as spatial databases, time-series databases, text databases, and multimedia databases. The challenges and techniques ... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World Malcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber Understanding SQL and Java ... amounts of data into useful information and knowledge. This book explores the concepts and techniques of data mining, a promising and flourishing frontier in data and information systems and their...

Ngày tải lên: 08/08/2014, 18:22

... approximation of the original data. PCA is computationally inexpensive, can be applied to ordered and unordered attributes, and can handle sparse data and skewed data. Multidimensional data of more than ... The metadata may also be used to help transform the data (e.g., where data codes for pay type in one database may be “H” and “S”, and 1 and 2 in another). Hence, this step also relates to data cleaning, ... 97 2.7 Summary Data preprocessing is an important issue for both data warehousing and data mining, as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessing includes data cleaning,...

Ngày tải lên: 08/08/2014, 18:22

... reasons: High quality of data in data warehouses: Most data mining tools need to work on integrated, consistent, and cleaned data, which requires costly data clean- ing, data integration, and data transformation ... on various platforms, including transaction databases, relational databases,spatial databases, text databases, time-series databases, flat files, data warehouses, and so on. On-line analytical mining ... on multidimensional data to standard relational operations; or (2) a multidimensional OLAP (MOLAP) model, that is, a special-purpose server that directly implements multidimensional data and operations....

Ngày tải lên: 08/08/2014, 18:22

... transactional data. Suppose, however, that rather than using a transactional database, sales and related information are stored in a relational database or data warehouse. Such data stores are multidimensional, ... 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 data mining ... partition the database into a set of pro- jected databases, and then construct an FP-tree and mine it in each projected database. Such a process can be recursively applied to any projected database...

Ngày tải lên: 08/08/2014, 18:22

... to as training tuples and are selected from the database under analysis. In the context of classification, data tuples can be referred to as samples, examples, instances, data points, or objects. 2 Because ... scalability. While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit into memory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure. SPRINT removes ... inefficient due to swapping of the training tuples in and out of main and cache memories. More scalable approaches, capable of handling training data that are too large to fit in memory, are required....

Ngày tải lên: 08/08/2014, 18:22

... 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 ... data in preparation for classification and prediction can involve data cleaning to reduce noise or handle missing values, relevance analysis to remove irrelevant or redundant attributes, and data ... in Cooper and Herskovits [CH92], Buntine [Bun94], and Heckerman, Geiger, and Chick- ering [HGC95]. Algorithms for inference on belief networks can be found in Russell and Norvig [RN95] and Jensen...

Ngày tải lên: 08/08/2014, 18:22

... in relational databases, transactional databases, and data warehouses. The growth of data in various complex forms (e.g., semi-structured and unstructured, spatial and temporal, hypertext and ... 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 data sets, such as data ... time-series streams, spatiotemporal data streams, and video and audio data streams. 8.2 Mining Time-Series Data “What is a time-series database?” A time-series database consists of sequences of...

Ngày tải lên: 08/08/2014, 18:22

... 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 ... mining; the Hoeffding tree, VFDT, and CVFDT algorithms for stream data classification; and the STREAM and CluStream algorithms for stream data clustering. A time-series database consists of sequences ... Time-Series, and Sequence Data There have been extensive studies on stream data management and the processing of continuous queries in stream data. For a description of synopsis data structures...

Ngày tải lên: 08/08/2014, 18:22

... inbroadcast data streams, and in personal and professional databases. This amount is rapidly growing. There are great demands for effective content-based retrieval and data mining methods for audio and ... construct a spatial data warehouse?” Yes, as with relational data, we can integrate spatial data to construct a data warehouse that facilitates spatial data mining. A spatial data warehouse is ... Text, and Web Data sections. Here we introduce multimedia data mining methods, including similarity search in multimedia data, multidimensional analysis, classification and prediction analysis, and...

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 22:20

Ngày tải lên: 08/08/2014, 22:20

Ngày tải lên: 08/08/2014, 22:20

Ngày tải lên: 08/08/2014, 22:20