data mining concepts and techniques pdf download

... Foundations of Data Mining 665 11.3.2 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 Impacts of Data Mining 675 11.4.1 ... object-relational databases and specific application-oriented databases, such as spatial databases, time-series databases, text databases, and multimedia databases. The challenges and techniques of mining ... 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...

Ngày tải lên: 08/08/2014, 18:22

... 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, ... 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 ... 2.3 Data Cleaning 65 2.3.3 Data Cleaning as a Process Missing values, noise, and inconsistencies contribute to inaccurate data. So far, we have looked at techniques for handling missing data and...

Ngày tải lên: 08/08/2014, 18:22

... 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 Data Warehouse Usage Data warehouses and data ... Warehouse and OLAP Technology: An Overview 3.5 From Data Warehousing to Data Mining “How do data warehousing and OLAP relate to data mining? ” In this section, we study the usage of data warehousing ... Chapter 3 Data Warehouse and OLAP Technology: An Overview data by OLAP operations), and data mining (which supports knowledge discovery). OLAP-based data mining is referred to as OLAP mining, or...

Ngày tải lên: 08/08/2014, 18:22

... 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 ... 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 ... way, the problem of mining frequent patterns in databases is transformed to that of mining the FP-tree. 228 Chapter 5 Mining Frequent Patterns, Associations, and Correlations databases. We begin...

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 ... even for real-world data. RainForest has techniques, however, for handling the case where the AVC-group does not fit in memory. RainForest can use any attribute selection measure and was shown to...

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

Ngày tải lên: 08/08/2014, 18:22

... by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based Classifiers Examples: Rote-learner ã Memorizes entire training data and performs classification only if attributes ... to $1M © Tan,Steinbach, Kumar Introduction to Data Mining 40 1 nearest-neighbor Voronoi Diagram © Tan,Steinbach, Kumar Introduction to Data Mining 38 Nearest-Neighbor Classifiers  Requires ... r* and r ã Choose rule set that minimizes MDL principle – Repeat rule generation and rule optimization for the remaining positive examples © Tan,Steinbach, Kumar Introduction to Data Mining...

Ngày tải lên: 15/03/2014, 09:20

... 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

... SQL/MM for Data Mining. JDM has also influenced these standards. Oracle9i Data Mining will comply with the JDM standard when that standard is published. 1.2.2 Data Mining Server The Data Mining ... viii Basic ODM Concepts 1-1 1 Basic ODM Concepts Oracle9i Data Mining (ODM) embeds data mining within the Oracle9i database. The data never leaves the database — the data, data preparation, ... main components: ■ Oracle9i Data Mining API ■ Data Mining Server (DMS) 1.2.1 Oracle9i Data Mining API The Oracle9i Data Mining API is the component of Oracle9i Data Mining that allows users to...

Ngày tải lên: 06/11/2013, 01:15

... Switzerland, England, and Germany, especially on Wolff and Baumbarten (pp. 198–231). Bäumler sees the task of aesthetics (and of teleology) in explaining the individual and its irrationality and ... the understanding in judgments” and the so-called “cat- egories,” or concepts of pure understanding.” Kant has introduced these cat- egories of the understanding in the first Critique, and he uses ... and recalls what we see; and it is our understanding that tries to grasp and decide what is depicted or what it all means. In aesthetic contem- plation this is primarily enjoyable by itself and...

Ngày tải lên: 16/03/2014, 14:20

Ngày tải lên: 23/03/2014, 01:20

... ($M) => 180 100 80 50 7 20 $356 Formatted Problem and LP Solution For Power Gen Inc. 1 Ch 12: More Advanced Linear Programming Concepts and Methods Applying Linear Programming to Those Investments ... goals and constraints, and an appreciation of Linear Programming methodology. 5 Explanations of the ‘Extension’ Ideas II.  Interdependent projects: projects may provide mutual support and ... extensions include: 1. Allowing more activities and constraints 2. Recognizing indivisible investments 3. Allowing inter-year resource borrowings and transfers 4. Recognizing interdependent projects 5....

Ngày tải lên: 23/03/2014, 04:20

... “big data are based on distinctions between the capabilities of legacy database technologies and new data storage and processing techniques and tools such as Hadoop clusters, Bloom filters, and ... clusters, Bloom filters, and R data analysis tools. Big data is data too big to be handled and analyzed by traditional database protocols such as SQL (which makes big data a term that may evolve ... privacy, identity, reputation, and data ownership. The direct impact of failing to under stand the complexities and nuance of the relationships between big -data technologies and the people who use...

Ngày tải lên: 31/03/2014, 12:20

... enterprise ã ã ã ã Simpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Simpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Simpo PDF Merge and Split Unregistered ... table layout, the concepts such as primary key, unique key, data redundancy, and data dependency are covered in this chapter. Chapter 5 presents various techniques for improving our data structure ... constraints that must ã ã ã ã ã Simpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Simpo PDF Merge and Split Unregistered Version - http://www.simpopdf.com Table of Contents [...

Ngày tải lên: 27/06/2014, 09:20

Ngày tải lên: 28/06/2014, 10:20