... Services) Building Analysis Services Projects Creating an Analysis Services Project Creating an Analysis Services Project (Basic Data Mining Tutorial) Each Microsoft SQL Server Analysis Services ... you will be using the database as a data source. You will deploy the data mining objects to an Analysis Services database named BasicDataMining. By default, A...
Ngày tải lên: 01/06/2014, 15:16
Data warehuose and data mining
... trình KDD Knowledge 1 2 3 4 5 Data cleaning Data warehouse Task relevant data Data mining Pattern Evaluation selection Data integration Mục đích KTDL 5/12/200918 Data Mining Predictive Descriptive Classification Time ... lý • Kiểm soát chất lượng 5/12/200915 Biến thời gian 9 • Data • Time • 01/97 • 02/97 • 03/97 • Data for January • Data for February • Data for March •...
Ngày tải lên: 18/01/2013, 16:15
... of data and the data set, and various ways of structuring data in order to work with it. Problems that afflict the data and the data set (and also the miner!) were introduced. All of this data, ... looks like, and collected or discovered appropriate data, you can begin the process of data mining. Data mining is about working with data, which to a greater or less...
Ngày tải lên: 24/10/2013, 19:15
Data Preparation for Data Mining- P4
... activities. Data Issue: Representative Samples A perennial problem is determining how much data is needed for modeling. One tenet of data mining is “all of the data, all of the ... Basic data preparation requires three such steps: data discovery, data characterization, and data set assembly. • Data discovery consists of discovering and actually...
Ngày tải lên: 24/10/2013, 19:15
Data Preparation for Data Mining- P5
... understand the data. Once the assay is completed, the mining data set, or sets, can be assembled. Given assembled data sets, much preparatory work still remains to be done before the data is ... original data set. The data preparation software creates this variable and captures information about the missing value patterns. For each pattern of missing values in the d...
Ngày tải lên: 29/10/2013, 02:15
Data Preparation for Data Mining- P6
... most important metrics in both statistical analysis and data mining. It is this concept of “level of confidence” that allows sampling of data sets to be made. If the miner decided ... the original data sample. Random sampling does that. If the original data set represents a biased sample, that is evaluated partly in the data assay (Chapter 4), again when the data s...
Ngày tải lên: 29/10/2013, 02:15
Data Preparation for Data Mining- P7
... determining density just by looking at the number of points in a given area, particularly if in some places the given volume only has one data point, or even no data points, in it. If enough data ... density of the data points depends on the number of data points present and the size of the space. The number of dimensions fixes unit state space volume, but the number of data p...
Ngày tải lên: 08/11/2013, 02:15
Data Preparation for Data Mining- P8
... of the data representation in state space. Translating the information discovered there into insights about the data, and the objects the data represents, forms an important part of the data ... methods have anything in common with putting data into the multitable structures called “normal form” in a database, data warehouse, or other data repository.) During the process of m...
Ngày tải lên: 08/11/2013, 02:15
Data Preparation for Data Mining- P9
... to the data. It is every bit as important to avoid adding bias and distortion to the data as it is to make the information that is present available to the mining tool. The data itself, ... particular instance, data had been assembled into a data warehouse. The architects had carefully prepared the data for warehousing, including replacing the missing values. The da...
Ngày tải lên: 08/11/2013, 02:15
Tài liệu Data Preparation for Data Mining- P10 docx
... Series Data Series data differs from the forms of data so far discussed mainly in the way in which the data enfolds the information. The main difference is that the ordering of the data ... reason that series data has to be prepared differently from nonseries data. There is a large difference between preparing data for modeling and actually modeling the data....
Ngày tải lên: 15/12/2013, 13:15