a mathematics and data mining approach

... these features are defined by hand-coded rules, and some by surface utterance characteristics like word Ngrams The available data is used to train statistics which evaluate each feature's reliability ... constrains and lack of access to users made it difficult to better than this We transcribed and annotated the data using a simple Java-based tool, randomly selecting 75% of it for use in training and ... grammar contains 129 rules and 258 lexical items, and the compiled recogniser achieves a word error rate of approximately 19% on unseen in-domain test data using our normal software and hardware...

Ngày tải lên: 08/03/2014, 21:20

... quan 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 ... Savings • Application • Current • Accounts • Application • Loans • Application • Operational Environment • Subject = Customer • Data Warehouse Biến thời gian • Time • Data • 01/97 Data for January ... Nội Dung • Kho liệu (Data warehouse) • Khai thác liệu (Data mining) – Giới thiệu – Giới thiệu – Qui trình khám phá tri thức – Định ngh a – DW - Traditional Database – Luật kết hợp – Mục đích...

Ngày tải lên: 18/01/2013, 16:15

... 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 ... text data, map data, sequence data, and expression data, and concludes with a case study Exploratory Genomic Data Analysis: The chapter describes approaches to exploratory genomic data analysis, ... individual research efforts and clinical practices, these biomedical data are available in hundreds of public and private databases, which have been made possible by new database technologies and...

Ngày tải lên: 06/03/2014, 12:20

... 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 ... text data, map data, sequence data, and expression data, and concludes with a case study Exploratory Genomic Data Analysis: The chapter describes approaches to exploratory genomic data analysis, ... Software Agent Ecosystems in Retail Processes and Beyond1 Brian Subirana and Malcolm Bain LOGICAL DATA MODELING: What It Is and How To Do It1 Alan Chmura and J Mark Heumann DESIGNING AND EVALUATING...

Ngày tải lên: 06/03/2014, 12:20

... education and disease and case management (for heart disease and stroke, diabetes, prenatal care, immunizations, breast and cervical cancer, diabetes, and asthma) but also the promotion of change ... health insurance; enrollment and referral to appropriate health care agencies; and mater­ nal health and prenatal care Division for Diabetes Translation (DDT) A number of state and territorial ... burden of diabetes is disproportionately borne by American Indians and Alaska Natives, African Americans, Hispanic or Latino Americans, and Asians/Pacific Islanders The devel­ opment of diabetes is...

Ngày tải lên: 28/03/2014, 21:20

... instruments, and effective organizational arrangements, as well as an illustrative list of indicator sources and databases that can be used for their assessment Some of the readily available indicator data ... New land resources database is established and used easily and regularly by local land registry staff Operational efficiency of organizational arrangements From learning outcomes to learning activities ... strategies and programs at various stages and in various ways (box 1.1) For example, it can be used to plan and design programs at various levels (both stand-alone programs and components of larger...

Ngày tải lên: 30/03/2014, 01:20

... exploiting large databases by: uncovering valuable information hidden in data; learn what data has real meaning and what data simply takes up space; examining which data methods and tools are most effective ... cleaning transactional data and making them available for online retrieval A popular approach for analysis of data warehouses has been called OLAP (on-line analytical processing) OLAP tools focus ... or that describes how the data may have arisen” In contrast, a pattern is a local structure, perhaps relating to just a handful of variables and a few cases” The major classes of data mining...

Ngày tải lên: 14/08/2014, 02:21

... are saved for each feature If standarderror normalizations are used, the means and standard errors for each feature are saved for application to new data 2.2.2 Data Smoothing Data smoothing can ... model of data makes explicit the constraints faced by most data mining methods in searching for good solutions 2.2 Data Transformations A central objective of data preparation for data mining is ... same scale as age in years There are many ways of normalizing data Here are two simple and effective normalization techniques:   Decimal scaling Standard deviation normalization Decimal scaling...

Ngày tải lên: 14/08/2014, 02:21

... most common and is often referred to as a training and validation set approach We discuss the two main variants of this approach below In this approach, the available data are separated into two ... Discovery and Data Mining   unemployment rate; England’s prospect at cricket Table 3.1 is a small illustrative dataset of six days about the London stock market The lower part contains data of each ... Categorical Variables Decision-tree methods are equally adept at handling continuous and categorical variables Categorical variables, which pose problems for neural networks and statistical techniques,...

Ngày tải lên: 14/08/2014, 02:21

... the data It follows that: A must appear in at least 10,000 transactions; and, B must appear in at least 10,000 transactions; and, C must appear in at least 10,000 transactions; and, D must appear ... also implies that: A and B must appear together in at least 10,000 transactions; and, A and C must appear together in at least 10,000 transactions; and, A and D must appear together in at least ... counts are created:     OJ and milk, OJ and detergent, OJ and soda, OJ and cleaner Milk and detergent, milk and soda, milk and cleaner Detergent and soda, detergent and cleaner Soda and cleaner...

Ngày tải lên: 14/08/2014, 02:21

... records in the database Two main problems with this approach are: Many variable types, including all categorical variables and many numeric variables such as rankings, not have the right behavior to ... than a large change in another field Figure 5.4: At each iteration all cluster assignments are reevaluated A Variety of Variables Variables can be categorized in various ways—by mathematical ... 30 day is twice as warm as a 15 day Similarly, a size 12 dress is not twice as large as a size and gypsum is not twice as hard as talc though they are and on the hardness scale It does make...

Ngày tải lên: 14/08/2014, 02:21

... requires analyzing the training set to verify the data values and their ranges Since data quality is the number one issue in data mining, this additional perusal of the data can actually forestall ... massaged to be in a particular range, usually between and This requires additional transforms and manipulations of the input data that require additional time, CPU power, and disk space In addition, ... Discovery and Data Mining used variant Its two primary virtues are that it is simple and easy to understand, and it works for a wide range of problems Learn Rate Momentum Error Tolerance Adjust...

Ngày tải lên: 14/08/2014, 02:21

... and Zanasi, A (Ed.): Discovering Data Mining from Concept to Implementation, Prentice Hall, 1997 Dorian, P.: Data Preparation for Data Mining, Morgan Kaufmann, 1999 Fayyad, U.M., Piatetsky-Shapiro, ... Morgan Kaufmann, 1991 Weiss, S.M and Indurkhya, N.: Predictive Data Mining: A Practical Guide, Morgan Kaufmann, 1997 Westphal, C and Blaxton, T.: Data Mining Solutions: Methods and Tools for Real-World ... 10% 10 Table 7.7: Cross-validation estimators The great advantage of cross-validation is that all the cases in the available sample are used for testing, and almost all the cases are also used...

Ngày tải lên: 14/08/2014, 02:21

... exploiting large databases by: uncovering valuable information hidden in data; learn what data has real meaning and what data simply takes up space; examining which data methods and tools are most effective ... cleaning transactional data and making them available for online retrieval A popular approach for analysis of data warehouses has been called OLAP (on-line analytical processing) OLAP tools focus ... or that describes how the data may have arisen” In contrast, a pattern is a local structure, perhaps relating to just a handful of variables and a few cases” The major classes of data mining...

Ngày tải lên: 17/10/2014, 07:23

... of data, data storage and management, data access provisions, data analysis and data/ result presentation (Palace, 1996) There are two major categories of data mining tasks: descriptive and predictive ... ortholog mapping and network based prioritization approach, a relevancy score was calculated and was finally aggregated with the phenotypic data and using this analysis approach, a number of candidate ... developing an understanding of the application domain, creating a target data set, data cleansing and preprocessing, data reduction and projection, choosing data mining task, choosing data mining algorithm,...

Ngày tải lên: 25/11/2015, 13:26

... 54 Data Assessment 56 Data Profiling 56 Data Cleansing 56 Data Transformation 57 Data Imputation 59 Data Weighting and Balancing 62 Data Filtering and Smoothing 64 Data Abstraction 66 Data Reduction ... What Is Data Mining? 17 v vi TABLE OF CONTENTS Data Understanding (Mostly Science) 39 Data Acquisition 39 Data Integration 39 Data Description 40 Data Quality Assessment 40 Data Preparation (A ... statistical analysis and data mining, and integrates it with the data discovery and data preparation operations necessary to prepare for modeling Part II presents some basic algorithms and applications...

Ngày tải lên: 22/05/2016, 16:24

... et al 2007] classification, association analysis, concept description • association rules [Agrawal and Srikant 1994, Agrawal et al 1996, Zhang and Zhang 2002] association analysis • hierarchical ... Hestir et al 1991] A random set is simply a set-valued random variable: in analogy to a standard, usually real-valued random variable, which maps elementary events to numbers, a random set maps elementary ... conceptual and formal problems The main reasons are that in the axiomatic approach a possibility distribution is defined for a random variable, but as yet we only have a sample space, and that there...

Ngày tải lên: 14/07/2016, 15:32

... Professionals and Managers as Stakeholders 57 R&D, Engineering Professionals, and Managers as Stakeholders 58 Accounting and Finance Professionals and Managers as Stakeholders 59 Public Relations Managers ... interesting way stakeholder and issues management methods as strategic and practical ways for mapping corporate, group, and individual relationships so readers can understand and apply ethical reasoning ... good and bad, harmful and beneficial regarding decisions and actions in organizational transactions?” Ethical “solutions” to business and organizational problems may have more than one alternative,...

Ngày tải lên: 25/11/2016, 09:05

... Analysis Visualizaion Reports ETL OLAP Flat Files EII External Data Scorecards & Dashboards Data Marts Metadata Management Figure 1.1 Classical data warehouse architecture Data Mining 14 CHAPTER INTRODUCING ... reality the data model was a replication of parts of one of the legacy operational databases This replicated database did not include any data scrubbing and was wrapped in a significant amount of ... data warehouse development, ERP implementation, legacy systems development, and so forth Agile author and database expert Scott Ambler has written books on Agile database development and database...

Ngày tải lên: 29/05/2014, 13:56

... query languages; because human analysis breaks down with volume and dimensionality Traditional statistical methods not have the capacity and scale to analyse these data, and hence modern data mining ... credit and market risk present the central challenge, one can observe a major change in the area of how to measure and deal with them, based on the advent of advanced database and data mining ... initiatives, market segmentation, risk analysis and revising company customer policies The advantage of data mining is that it can handle large amounts of data and learn inherent structures and patterns...

Ngày tải lên: 20/06/2014, 14:20