data mining concepts and techniques 2nd edition pdf free download

... 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 Ubiquitous and Invisible Data Mining ... 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 ... (inclusive). 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

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

... risk 473 Ian F Godsland 37. Androgens: Studies in animal models of atherosclerosis 487 Peter Alexandersen 38. Androgens and blood pressure in men 501 Guy Lloyd 39. Androgens and arterial disease ... Ogata and Hirano, 52 not sufficiently acknowledged by the Europeans and Americans, found in 1934 that the androgen from the urine (Butenandt’s androsterone) was not identical with the androgen ... weak urinary 5α-reduced androgen comes from ‘andro’ = male, ‘ster’ = sterol, and ‘one’ = ketone. The chemical syn- thesis of androsterone was performed by Leopold Ruzicka and co-workers 3 years...

Ngày tải lên: 06/03/2014, 00:22

... and collect data from the inpatient record. 2. Recording Data a. Manual Data entered on work sheets and later processed is designated as manual data entry. A worksheet often is provided and data ... the original data from which they are ob- tained. The kind and extent of data collected and the uses made of the data vary from one health care institution to another. Data compiled and compared ... aid data entry but serve to store and retrieve increasing amounts of data. Just as accurate and adequate data is of utmost importance, it is also im- portant to avoid collecting unnecessary data. ...

Ngày tải lên: 06/03/2014, 07:20

... transport and network, and so it was much harder (and eventually impossible) to get IETF to accept OSI transport and network. Managing NFS and NIS 13 1.3.1 Datagrams and packets IP deals with data ... deals with data in chunks called datagrams. The terms packet and datagram are often used interchangeably, although a packet is a data link-layer object and a datagram is network layer object. ... appearance and transparent in the way files and data are shared. NIS provides a distributed database system for common configuration files. NIS servers manage copies of the database files, and NIS...

Ngày tải lên: 16/03/2014, 00:20

... by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based Classifiers Examples: – Rote-learner • Memorizes entire training data and performs classification only if attributes ... $10K 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’ • 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

... at work in the chemical recovery process can be found in Smook, Handbook for Pulp and Paper Technologists, 2nd Edition, 1992 and will not be discussed here. The kraft chemical recovery process ... environmental and health concerns about dioxins, U.S. pulp mills now use elemental chlorine free (ECF) and total chlorine free (TCF) bleaching technologies. The most common types of ECF and TCF are ... Pulp and Paper Industry Introduction, Background, and Scope However, pulp and paper are commodities and therefore prices are vulnerable to global competition. Countries such as Brazil, Chile, and...

Ngày tải lên: 18/03/2014, 02:20

... be used and from the Preface XVI - Object-oriented data representation to facilitate data standardization and data integration by the embodiment of metadata and data operations into data structures; - ... sharing of dynamic, multi-authored data sets, and parallel posting and retrieval of data; - Remote sensing and GIS to facilitate spatial data visualization and acquisition; - Animation to facilitate ... to provide high-speed data access and processing and large internal storage (RAM), and to facilitate high speed simulations; - Internet and www to facilitate interactive and online simulation...

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