intermediate data mining tutorial

... small dataset, need all observations to estimate parameters of interest • Data mining – loads of data, can afford “holdout sample” • Variation: n-fold cross validation – Randomly divide data into ... Multiple testing • • • • • • 50 different BPs in data, m=49 ways to split Multiply p-value by 49 Bonferroni – original idea Kass – apply to data mining (trees) Stop splitting if minimum p-value ... April 2012 Data Mining - What is it? • • • • Large datasets Fast methods Not significance testing Topics – Trees (recursive splitting)...

Ngày tải lên: 04/03/2013, 14:32

... Many Names of Data Mining  Data Fishing, Data Dredging: 1960 used by statisticians (as bad name)  Data Mining :1990 - used in DB community, business  Knowledge Discovery in Databases (1989-) ... training data, validation data, and test data  Validation data is used to optimize parameters © 2006 KDnuggets 45 Making the most of the data  Once evaluation is complete, all the data can ... Related Fields Machine Learning Visualization Data Mining and Knowledge Discovery Statistics © 2006 KDnuggets Databases Statistics, Machine Learning and Data Mining  Statistics:    more theory-based...

Ngày tải lên: 04/03/2013, 14:32

... online analytical mining provide users with the flexibility to select desired data mining functions and swap data mining tasks dynamically 13 TERMINOLOGIES Data Mining Data Mining Data mining is defined ... time Data Mining Task Primitives  We can specify a data mining task in the form of a data mining query  This query is input to the system  A data mining query is defined in terms of data mining ... About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data In other words, we can say that data mining is mining knowledge from data The tutorial...

Ngày tải lên: 28/08/2016, 12:31

... “Necessity is the mother of invention” - Data Mining đời hướng giải hữu hiệu cho câu hỏi vừa đặt Khá nhiều định nghĩa Data Mining đề cập phần sau, nhiên tạm hiểu Data Mining công nghệ tri thức giúp khai ... tương tự với từ Datamining Knowledge Mining (khai phá tri thức), knowledge extraction(chắt lọc tri thức), data/ patern analysis(phân tích liệu/mẫu), data archaeoloogy (khảo cổ liệu), datadredging(nạo ... TỔNG QUAN VỀ KHAI PHÁ DỮ LIỆU - DATA MINING 1.Khai phá liệu gì? Khai phá liệu (datamining) định nghĩa trình chắt lọc hay khai phá tri thức từ lượng lớn liệu Thuật ngữ Dataming ám việc tìm kiếm tập...

Ngày tải lên: 21/05/2014, 06:17

... trong qui trình KDD Pattern Evaluation Data mining Task relevant data Data warehouse Data cleaning Knowledge Data integration selection Mục đích KTDL Data Mining Descriptive Predictive Classification ... Environment • Subject = Customer • Data Warehouse Biến thời gian • Time • Data • 01/97 Data for January • • 02/97 Data for February • • 03/97 Data for March • • Data • Warehouse Ổn Định • Là lưu ... Nội Dung • Kho liệu (Data warehouse) • Khai thác liệu (Data mining) – Giới thiệu – Giới thiệu – Qui trình khám phá tri thức – Định nghĩa – DW - Traditional Database – Luật kết hợp – Mục...

Ngày tải lên: 18/01/2013, 16:15

... lý liệu Pattern Evaluation/ Presentation Data Mining Patterns Task-relevant Data Data Warehouse Data Cleaning Selection/Transformation Data Integration Data Sources 2.1 Tổng quan giai đoạn tiền ... ZhaoHui Tang, Jamie MacLennan, Data Mining with SQL Server 2005”, Wiley Publishing, 2005  [6] Oracle, Data Mining Concepts”, B28129-01, 2008  [7] Oracle, Data Mining Application Developer’s ... Micheline Kamber, Data Mining: Concepts and Techniques”, Second Edition, Morgan Kaufmann Publishers, 2006  [2] David Hand, Heikki Mannila, Padhraic Smyth, “Principles of Data Mining , MIT Press,...

Ngày tải lên: 23/01/2013, 22:17

... Name Chỉ định tên worksheet mà bạn chọn vào Nhấp vào nút ( ) để chọn từ danh sách worksheet sẵn Data range: Bạn nhập liệu bắt đầu với hàng không trống với phạm vi rõ ràng: • First non-blank row: ... thị tên theo lệnh thực hiện, bạn đặt tên lại cho lệnh “phan cum” hay tùy ý bạn Use partitioned data: Sử dụng liệu phân vùng Nếu trước liệu bạn thực lệnh Partition Number of clusters: Xác định ... Kinh Tế TPHCM 23 Hình 5.3: Bảng tùy chọn neural Model: Model name: Tên mô hình Use partitioned data: Sử dụng liệu phân vùng Method: Phương pháp Có sáu phương pháp để xây dựng mô hình mạng thần...

Ngày tải lên: 17/02/2013, 16:08

... : Database : Direct Hashing and Pruning : Hash table of k-itemsets : Large itemsets k elements : Perfect Hashing and DB Pruning : Perfect Hashing and data Shrinking : Set-oriented mining : Database ... future Hash-Based Approach to Data Mining CHAPTER 1: Introduction 1.1 Overview of finding association rules It is said that, we are being flooded in the data However, all data are in the form of strings, ... initial data Therefore, data mining grows quickly, step by step plays a key role in our lives now Each application has other requirements, correlate with other methods for the particular databases...

Ngày tải lên: 15/04/2013, 21:33

... drive data gathering and experimental planning, and to structure the databases and data warehouses BK is used to properly select the data, choose the data mining strategies, improve the data mining ... modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in EEG and ECG data, and methods related to mining ... their databases It results into numerous applications of various data mining tools and techniques The analyzed data are in different forms covering simple data matrices, complex relational databases,...

Ngày tải lên: 16/08/2013, 16:24

... BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden gold’ In Decision Support Management terminology, data mining ... on data retention and data distillation Rule induction models (Figure 2) belong to the logical, pattern distillation based approaches of data mining These technologies extract patterns from data ... REFERENCES [1] Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm [2] Berry, J A Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing,...

Ngày tải lên: 22/10/2013, 09:15

... of data representation 2.6.2 Building Data Dealing with Variables The data representation can usefully be looked at from two perspectives: as data and as a data set The terms data and data ... actual mining due to their limited data capacity and inability to handle certain types of operations needed in data preparation, data surveying, and data modeling For exploring small data sets, ... information is crucial to data mining It is the very substance enfolded within a data set for which the data set is being mined It is the reason to prepare the data set for mining to best expose...

Ngày tải lên: 24/10/2013, 19:15

... bias Determining data structure Building the PIE Surveying the data Modeling the data 3.3.1 Stage 1: Accessing the Data The starting point for any data preparation project is to locate the data This ... data preparation requires three such steps: data discovery, data characterization, and data set assembly • Data discovery consists of discovering and actually locating the data to be used • Data ... preparation 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 time.”...

Ngày tải lên: 24/10/2013, 19:15

... additional information actually forms another data stream and enriches the original data Enrichment is the process of adding external data to the data set Note that data enhancement is sometimes confused ... example of enhancing the data No external data is added, but the existing data is restructured to be more useful in a particular situation Another form of data enhancement is data multiplication When ... 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 in optimum...

Ngày tải lên: 29/10/2013, 02:15

... of 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 set itself ... the alphas, but also for conducting the data survey and for addressing various problems and issues in data mining Becoming comfortable with the concept of data existing in state space yields insight ... 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 to use only a...

Ngày tải lên: 29/10/2013, 02:15

... Oracle Data Mining (ODM) embeds data mining within the Oracle database The data never leaves the database — the data, data preparation, model building, and model scoring results all remain in the database ... import all data mining models as well as other database objects Run DBMS _DATA_ MINING. import_model to import data mining models only, either all models or selected models The Oracle Data Pump Utility ... be an Oracle database with either the Oracle Data Mining option or the Oracle Data Mining Scoring Engine option installed The Oracle Data Pump Export Utility (expdp) is used for database and...

Ngày tải lên: 04/11/2013, 12:15

... Oracle9i Data Mining Components Oracle9i Data Mining has two main components: s Oracle9i Data Mining API s Data Mining Server (DMS) 1.2.1 Oracle9i Data Mining API The Oracle9i Data Mining API ... Web sites xii Basic ODM Concepts Oracle9i Data Mining (ODM) embeds data mining within the Oracle9i database The data never leaves the database — the data, data preparation, model building, and model ... Association Rules models PMML Oracle9i Data Mining Concepts Oracle9i Data Mining Components allows data mining applications to produce and consume models for use by data mining applications that follow...

Ngày tải lên: 06/11/2013, 01:15

... 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 ... mean 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 points in that ... cure! The data survey, in part, examines the manifold carefully and should report the location and extent of any such areas in the data At least when modeling in such an area of the data, the...

Ngày tải lên: 08/11/2013, 02:15

... 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 survey ... normalization 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 manipulation, ... in data preparation Several practical issues in providing a working data preparation computer program were also addressed In spite of the distance covered here, there remains much to to the data...

Ngày tải lên: 08/11/2013, 02:15

... damage 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, considered ... regularized For instance, one such tool for a particular data set could, when fine-tuned and adjusted, just as well with unprepared data as with prepared data The difference was that it took over three ... of the data survey However, it is during the data preparation process that they are first “discovered.” 7.2.4 Modified Distributions When the distributions are adjusted, what changes? The data...

Ngày tải lên: 08/11/2013, 02:15

... aspects of data and data analysis: introduction to data mining (chapter 1), measurement (chapter 2), summarizing and visualizing data (chapter 3), and uncertainty and inference (chapter 4) Data Mining ... refers to "observational data, " as opposed to "experimental data. " Data mining typically deals with data that have already been collected for some purpose other than the data mining analysis (for ... this reason, data mining is often referred to as "secondary" data analysis The definition also mentions that the data sets examined in data mining are often large If only small data sets were...

Ngày tải lên: 07/12/2013, 11:40