data mining for business intelligence concepts techniques and applications pdf download

... Performance measurement 54 2.12 Collaborative data mining: the confluence of data mining and knowledge management 55 3 Data Mining Tools and Techniques 59 3.1 Microsoft’s entry into data mining ... of data mining 11 Chapter 1 Data mining allows for additional leverage of operational data and asso- ciated data collections in data marts and data warehouses. There is no short- age of raw data ... assembling the data mart; best practices in preparing data for analysis (includes best prac- tices in data assembly for data mining) . Techniques for integrat- ing data preparation with Microsoft database...

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

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

Ngày tải lên: 08/08/2014, 22:20

Ngày tải lên: 08/08/2014, 22:20

... electron guns have been used for more than 70 years, and their reliabil- ity and low cost encourage their use in many applications, especially for low mag- nification imaging and x-ray microanalysis ... spectrum before analysis although it contains information that is essential to the proper understanding and quantification of the emitted spectrum. More about characteristic x-rays for nanostructure ... engineer, and manipulate nanomaterials in-situ SEM. Scanning Microscopy for Nanotechnology should be a useful and practical guide for nano- material researchers as well as a valuable reference book for...

Ngày tải lên: 27/06/2014, 10:20

... Inequalities for Positively Associated Random Variables and Applications Guodong Xing, 1 Shanchao Yang, 2 and Ailin Liu 3 1 Department of Mathematics, Hunan University of Science and Engineering, ... real numbers such that c n →∞ and unsup i ≥1  j:j−i ≥n CovX i ,X j . Also, for convenience, we define X ni by X ni  X i for 1 ≤ i ≤ n and X ni  0fori>n,andlet X 1,i,n  − c n 2 I −∞,−c n /2  X ni   ... inequalities. Shao and Yu 2 generalized later the previous results. Recently, Ioannides and Roussas 3 established aBernstein-Hoeffding-type inequality for stationary and positively associated random vari- ables...

Ngày tải lên: 21/06/2014, 22:20

... Specific-to-general Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar â Tan,Steinbach, Kumar Introduction to Data ... {} Original Database: Projected Database for node A: For each transaction T, projected transaction at node A is T ∩ E(A) © Tan,Steinbach, Kumar Introduction to Data Mining 48 Rule Generation for ... to Data Mining 49 Effect of Support Distribution Many real data sets have skewed support distribution Support distribution of a retail data set © Tan,Steinbach, Kumar Introduction to Data Mining...

Ngày tải lên: 15/03/2014, 09:20

... Introduction to Data Mining 23 Multi-level Association Rules How do support and confidence vary as we traverse the concept hierarchy? – If X is the parent item for both X1 and X2, then σ(X) ... Counting: ã Make a new pass over the sequence database D to find the support for these candidate sequences Candidate Elimination: ã Eliminate candidate k-sequences whose actual support is less ... has zero mean and variance 1 under null hypothesis 2 2 2 1 2 1 ' n s n s Z + = àà © Tan,Steinbach, Kumar Introduction to Data Mining 3 Handling Categorical Attributes Transform categorical...

Ngày tải lên: 15/03/2014, 09:20

... clusters are irregular or intertwined, and when noise and outliers are present. 6 density-based clusters © Tan,Steinbach, Kumar Introduction to Data Mining 34 Handling Empty Clusters Basic K-means ... Tan,Steinbach, Kumar Introduction to Data Mining 42 Limitations of K-means: Non-globular Shapes Original Points K-means (2 Clusters) © Tan,Steinbach, Kumar Introduction to Data Mining 13 Types of Clusters: ... Introduction to Data Mining 5 Notion of a Cluster can be Ambiguous How many clusters? Four Clusters Two Clusters Six Clusters © Tan,Steinbach, Kumar Introduction to Data Mining 41 Limitations...

Ngày tải lên: 15/03/2014, 09:20

... Data Mining 11 Sparsification in the Clustering Process © Tan,Steinbach, Kumar Introduction to Data Mining 22 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining ... © Tan,Steinbach, Kumar Introduction to Data Mining 27 ROCK (RObust Clustering using linKs) Clustering algorithm for data with categorical and Boolean attributes – A pair of points is ... Kumar Introduction to Data Mining 18 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining 16 Chameleon: Steps Preprocessing Step: Represent the Data by a Graph – Given...

Ngày tải lên: 15/03/2014, 09:20

... etc., data sources, as well as tools for preparing and integrating them. Unfortunately, data is usually housed in databases for applications other than data mining; it is commonly stored for processing, ... the data mining analysis. In this chapter we will discuss the closed and open sources of data available both online and offline and how to integrate and prepare the data prior to its analysis. Data ... voicemail, and e-mail. Coupled with data mining techniques, this expanded ability to access multiple and diverse databases will allow the expanded ability to predict crime. Security and risk involving...

Ngày tải lên: 04/06/2014, 13:16

Ngày tải lên: 29/08/2014, 22:24

... Corporation JoeStag@Microsoft.com JoeStag@Microsoft.com www.ManagedCode.com www.ManagedCode.com Best Practices and Best Practices and Techniques for Building Techniques for Building Secure Microsoft Secure Microsoft đ đ ASP.NET ASP.NET Applications Applications So Why This ... session state  For DPAPI, consider user vs. machine store For DPAPI, consider user vs. machine store  For forms authentication, <machineKey> must be the same for each computer For forms authentication, ... design  Creating secure Web applications is a series of complex tasks Creating secure Web applications is a series of complex tasks  Promote best techniques for security Promote best techniques for security  Let...

Ngày tải lên: 15/01/2014, 15:59