preparing and creating data mining structures

... trợ giải pháp máy chủ standby RDBMS and Data Management/ Session 7/18 of 25 Nhóm tập tin ghi vết giao dịch  Thêm tập tin ghi vết vào sở liệu Cú pháp: ALTER DATABASE database_name { } [;] ::= ... tạo Cú pháp: CREATE DATABASE database_snapshot_name ON ( NAME = logical_file_name, FILENAME = ‘os_file_name’ ) [ , n ] AS SNAPSHOT OF source_database_name [;]  RDBMS and Data Management/ Session ... COLLATE collation_name ] ] [;] RDBMS and Data Management/ Session 7/15 of 25 Nhóm tập tin ghi vết giao dịch  Thêm nhóm tập tin vào CSDL có: Cú pháp ALTER DATABASE database_name { ...

Ngày tải lên: 01/09/2012, 09:09

... 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

... 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 ... prohibited Data, Information and Knowledge and communication technologies These new technologies are speeding an exchange and use of data, information and knowledge and are eliminating geographical and...

Ngày tải lên: 16/08/2013, 16:24

... representation, and the visualization of data and knowledge Nonstandard and incomplete data The data can be missing and/ or noisy These need to be handled appropriately Mixed media data Learning from data ... TO DATA MINING REFERENCES U Fayyad and R Uthurusamy, "Data mining and knowledge discovery in databases," Communications of the ACM, vol 39, pp 24-27, 1996 W H Inmon, "The data warehouse and data ... databases and data mining The major functions of data mining have been described from the perspectives of machine learning, pattern recognition, and artificial intelligence Handling of multimedia data, ...

Ngày tải lên: 13/12/2013, 01:15

... business trends in collecting and cleaning transactional data and making them available for analysis and decision support Data mining works hand in hand with warehouse data Data warehousing is analogous ... actual data for mining This also increases the mining efficiency by reducing the time required for mining the preprocessed data Data preprocessing involves data cleaning, data transformation, data ... concepts and functions of data mining, like classification, clustering, and rule mining, we wish to highlight the current and burning issues related to mining in multimedia applications and Bioinformatics...

Ngày tải lên: 13/12/2013, 01:15

... Management Data Mining and Text Mining in Medical Informatics Introduction Knowledge Management, Data Mining, and Text Mining: An Overview 2.1 Machine Learning and Data ... heterogeneous databases, information visualization, and multimedia databases; and data and text mining for health care, literature, and biological data We conclude the paper with discussions of privacy and ... Genomic Data Mine: The chapter focuses on the genomic data mine consisting of text data, map data, sequence data, and expression data, and concludes with a case study Exploratory Genomic Data Analysis:...

Ngày tải lên: 06/03/2014, 12:20

... Management Data Mining and Text Mining in Medical Informatics Introduction Knowledge Management, Data Mining, and Text Mining: An Overview 2.1 Machine Learning and Data ... heterogeneous databases, information visualization, and multimedia databases; and data and text mining for health care, literature, and biological data We conclude the paper with discussions of privacy and ... Genomic Data Mine: The chapter focuses on the genomic data mine consisting of text data, map data, sequence data, and expression data, and concludes with a case study Exploratory Genomic Data Analysis:...

Ngày tải lên: 06/03/2014, 12:20

... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... Underfitting and Overfitting Missing Values Costs of Classification © Tan,Steinbach, Kumar Introduction to Data Mining 50 Underfitting and Overfitting (Example) 500 circular and 500 triangular data points ... Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it © Tan,Steinbach, Kumar Introduction to Data Mining Illustrating...

Ngày tải lên: 15/03/2014, 09:20

... Used by DHP and vertical-based mining algorithms Reduce the number of comparisons (NM) – Use efficient data structures to store the candidates or transactions – No need to match every candidate ... each candidate by scanning the database – – Match each transaction against every candidate d Complexity ~ O(NMw) => Expensive since M = !!! © Tan,Steinbach, Kumar Introduction to Data Mining ... the support and confidence for each rule – Prune rules that fail the minsup and minconf thresholds ⇒ Computationally prohibitive! © Tan,Steinbach, Kumar Introduction to Data Mining Mining Association...

Ngày tải lên: 15/03/2014, 09:20

... Introduction to Data Mining 35 Candidate Generation Base case (k=2): – Merging two frequent 1-sequences and will produce two candidate 2-sequences: and General ... the to Dataevent of w2 © Tan,Steinbach, Kumar Introduction last Mining 36 Candidate Generation Examples Merging the sequences w1= and w2 = will produce the candidate ... viable candidate, then it can be obtained by merging w with < {1} {2 6} {5}> © Tan,Steinbach, Kumar Introduction to Data Mining 37 GSP Example © Tan,Steinbach, Kumar Introduction to Data Mining...

Ngày tải lên: 15/03/2014, 09:20

... Introduction to Data Mining 49 Starting Situation Start with clusters of individual points and a proximity matrix p1 p2 p3 p4 p5 p1 p2 p3 p4 p5 © Tan,Steinbach, Kumar Introduction to Data Mining Proximity ... the clusters are irregular or intertwined, and when noise and outliers are present density-based clusters © Tan,Steinbach, Kumar Introduction to Data Mining 14 Types of Clusters: Conceptual Clusters ... the edge weight between clusters and maximize the edge weight within clusters © Tan,Steinbach, Kumar Introduction to Data Mining 17 Characteristics of the Input Data Are Important Type of proximity...

Ngày tải lên: 15/03/2014, 09:20

... Introduction to Data Mining 17 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining 18 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining ... to Data Mining 20 Experimental Results: CURE (15 clusters) © Tan,Steinbach, Kumar Introduction to Data Mining 21 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining ... Introduction to Data Mining 34 SNN Clustering Can Handle Other Difficult Situations © Tan,Steinbach, Kumar Introduction to Data Mining 35 Finding Clusters of Time Series In Spatio-Temporal Data SNN...

Ngày tải lên: 15/03/2014, 09:20

Ngày tải lên: 01/04/2014, 18:20

... customers in data, one on the relation­ ship of data mining and data warehousing, another on the data mining envi­ ronment (both corporate and technical), and a final chapter on putting data mining ... nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner Data mining comes in two flavors—directed and undirected Directed data mining attempts ... Group Outsourcing Data Mining Outsourcing Occasional Modeling Outsourcing Ongoing Data Mining Insourcing Data Mining Building an Interdisciplinary Data Mining Group Building a Data Mining Group in...

Ngày tải lên: 07/04/2014, 11:16

... representation, and the visualization of data and knowledge Nonstandard and incomplete data The data can be missing and/ or noisy These need to be handled appropriately Mixed media data Learning from data ... business trends in collecting and cleaning transactional data and making them available for analysis and decision support Data mining works hand in hand with warehouse data Data warehousing is analogous ... TO DATA MINING REFERENCES U Fayyad and R Uthurusamy, "Data mining and knowledge discovery in databases," Communications of the ACM, vol 39, pp 24-27, 1996 W H Inmon, "The data warehouse and data...

Ngày tải lên: 08/04/2014, 12:45

... megabytes, and an exabyte is a million terabytes Data mining attempts to extract useful information from such large data sets Data mining explores and analyzes large quantities of data in order ... search and modeling steps of the typical data mining application This is why researchers refer to data mining as statistics at scale and speed The large scale (lots of available data) and the ... applications of data mining that are important; data mining is also important for applications in the sciences We have enormous data bases on drugs and their side effects, and on medical procedures and their...

Ngày tải lên: 05/05/2014, 13:27

... analysis and query, and mining peta-scale data to classify and detect attacks and intrusions on a computer network (Denning, 1987; Lee and Stolfo, 1998; Axelsson, 2000; Chandola et  al., 2006; Homeland ... designed to protect private data and knowledge in data mining PPDM methods can be characterized by data distribution, data modification, data- mining algorithms, rule hiding, and privacypreservation ... ◾  Data Mining and Machine Learning in Cybersecurity Data mining is used in many domains, including finance, engineering, biomedicine, and cybersecurity There are two categories of data- mining...

Ngày tải lên: 31/05/2014, 00:10

... Sutiwaraphun, J., To, H.W., and Yang, D Large scale data mining: Challenges and responses Proc of the Third Int’l Conference on Knowledge Discovery and Data Mining Goil, S., Alum, S., and Ranka, S 1996 ... workstations and related technologies, it is becoming more and more common to have the necessary infrastructure for high performance data mining On the other hand, many of the commonly used data mining ... of the data mining group in the centre He has been working on distributed data mining algorithms and systems development He is also working on network infrastructure for global wide data mining...

Ngày tải lên: 01/06/2014, 09:18

... haystacks and the answers to these kinds of questions is where data mining can be used to anticipate crimes and terrorist attacks 1. 3Data Mining Data mining is the fusion of statistical modeling, database ... techniques and tools to stem the flow of crime and terror and enhance security against individuals, property, companies, and civilized countries 1.12Criminal Analysis and Data Mining Data mining ... 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...

Ngày tải lên: 04/06/2014, 13:16