text mining and data mining

... 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

... 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 ... Management, Data Mining, and Text Mining in Medical Informatics: The chapter provides a literature review of various knowledge management, data mining, and text mining techniques and their applications ... 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...

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 ... Management, Data Mining, and Text Mining in Medical Informatics: The chapter provides a literature review of various knowledge management, data mining, and text mining techniques and their applications ... 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...

Ngày tải lên: 06/03/2014, 12:20

Ngày tải lên: 01/04/2014, 18:20

... Discovery and Data Mining Contents Preface Chapter Overview of Knowledge Discovery and Data Mining 1.1 1.2 1.3 1.4 1.5 1.6 1.7 What is Knowledge Discovery and Data Mining? The KDD Process KDD and Related ... understanding and 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 ... discovery and data mining 1.1 What is Knowledge Discovery and Data Mining? Just as electrons and waves became the substance of classical electrical engineering, we see data, information, and knowledge...

Ngày tải lên: 14/08/2014, 02:21

... codes The standard-form model is a data presentation that is uniform and effective across a wide spectrum of data mining methods and supplementary data- reduction techniques Its model of data makes ... 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 to transform the raw data into a standard spreadsheet ... are applied to data in standard form Prediction methods are then applied to the reduced data Dimension Reduction Data Preparation Standard Form Evaluation Data Mining Methods Data Subset Figure...

Ngày tải lên: 14/08/2014, 02:21

... Knowledge Discovery and Data Mining 3.3 Issues in data mining with decision trees Practical issues in learning decision trees include determining how deeply to grow the decision tree, handling continuous ... 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 ... beforehand (supervised data) Discrete classes: A case does or does not belong to a particular class, and there must be for more cases than classes Sufficient data: Usually hundreds or even thousands...

Ngày tải lên: 14/08/2014, 02:21

... 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 This is ... to analyze data and to get a start Most data mining techniques are not primarily used for undirected data mining Association rule analysis, on the other hand, is used in this case and provides ...     It produces clear and understandable results It supports undirected data mining It works on variable-length data The computations it uses are simple to understandable Results Are Clearly...

Ngày tải lên: 14/08/2014, 02:21

... grades than the salutatorian, but we don’t 65 Knowledge Discovery and Data Mining know by how much If X, Y, and Z are ranked 1, 2, and 3, we know that X > Y > Z, but not whether (X-Y) > (Y- Z) Intervals ... of the same data Instead of thinking of X and Y as points in space and measuring the distance between them, we think of them as vectors and measure the angle between them In this context, a vector ... Knowledge Discovery and Data Mining The Number of Features in Common When the variables in the records we wish to compare are categorical ones, we abandon geometric measures and turn instead to...

Ngày tải lên: 14/08/2014, 02:21

... Can Handle Categorical and Continuous Data Types Although the data has to be massaged, neural networks have proven themselves using both categorical and continuous data, both for inputs and outputs ... overriding factor in determining which neural network model to use Back propagation and recurrent back propaga- 91 Knowledge Discovery and Data Mining tion train quite slowly and so are almost never ... 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 problems...

Ngày tải lên: 14/08/2014, 02:21

... Discovery and Data Mining References 10 11 12 13 14 15 Knowledge Discovery Nuggets: http://www.kdnuggets.com/ Adriaans, P and Zantinge, D.: Data Mining, Addition-Wesley, 1996 Bigus, J.P.: Data Mining ... Discovery and Data Mining, M.I.T Press, 1996 Liu, H and Motoda, H.: Feature Selection for Knowledge Discovery and Data Mining, Kluwer International, 1998 Michalski, R., Brako, I., and Kubat, ... 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, G., Smyth, S., and Uthurusamy,...

Ngày tải lên: 14/08/2014, 02:21

... such as genes, proteins and drugs automatically and unambiguously within free text, over 50 information-extraction and text- mining tools have recently been implemented, and two community-wide ... genes and compounds [46,47]; and Textpresso [48,49], an information-retrieval and extraction tool developed for the Caenorhabditis elegans literature in the context of the model-organism database ... - semantically annotated corpus for bio-textmining Bioinformatics 2003, 19:i180-i182 78 Yeh A, Hirschman L, Morgan A: Evaluation of text data mining for database curation: lessons learned from...

Ngày tải lên: 14/08/2014, 14:21

... Goodreads database This database of users and their review data provided us with an enormous set of book reviews for text mining, and a way for us to make connections between books and users, ... WORK Mining unstructured text inevitably requires some method to reduce the sheer volume (and often, the dimensionality), of data Feldman and Dagan performed some of the seminal work on mining ... in the data by visualizing the summarized data directly [12] Pang and Lee [13][14] discuss many of the issues and challenges that come up when mining human reviews [14] Most studies of mining...

Ngày tải lên: 24/08/2014, 10:44

... direct and indirect relations This thesis, proposes a general methodology to bridge text mining and Bayesian network 8 3.2 The Proposed Methodology The problem of mining and integrating data into ... and confidence 6.7 Resolving Noisy-OR and Noisy -AND The last step of the process is resolving Noisy-OR and Noisy -AND conditions in the network This process is not a candidate for automation and ... 7.3.2 Importing New Evidence This operation interfaces text mining with the system It works on the raw data provided by a text mining utility and prepares it for use by the rest of the system The...

Ngày tải lên: 24/08/2014, 11:25

... Discovery and Data Mining Contents Preface Chapter Overview of Knowledge Discovery and Data Mining 1.1 1.2 1.3 1.4 1.5 1.6 1.7 What is Knowledge Discovery and Data Mining? The KDD Process KDD and Related ... understanding and 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 ... discovery and data mining 1.1 What is Knowledge Discovery and Data Mining? Just as electrons and waves became the substance of classical electrical engineering, we see data, information, and knowledge...

Ngày tải lên: 17/10/2014, 07:23

... target data set, data cleansing and preprocessing, data reduction and projection, choosing data mining task, choosing data mining algorithm, data mining, interpreting the mined patterns and consolidating ... examining volumes of data in multiple contexts to abstract the data into useful information (Palace, 1996) The five major components of data mining are: extraction and transformation 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 (Han and...

Ngày tải lên: 25/11/2015, 13:26

... ALGORITHMS IN DATA MINING AND TEXT MINING, THE ORGANIZATION OF THE THREE MOST COMMON DATA MINING TOOLS, AND SELECTED SPECIALIZED AREAS USING DATA MINING Basic Algorithms for Data Mining: A Brief ... 56 Data Transformation 57 Data Imputation 59 Data Weighting and Balancing 62 Data Filtering and Smoothing 64 Data Abstraction 66 Data Reduction 69 Data Sampling 69 Data Discretization 73 Data ... of Data Mining and Text Mining as Part of Our Everyday Lives Preamble 755 RFID 756 Social Networking and Data Mining 757 Example 758 Example 759 Example 760 Example 761 Image and Object Data Mining...

Ngày tải lên: 22/05/2016, 16:24

... Text Mining = Text Data Mining Text mining can be also defined — similar to data mining — as the application of algorithms and methods from the fields machine learning and statistics to texts with ... Also Kodratoff in [Kod99] and Gomez in [Hid02] consider text mining as process orientated approach on texts In this article, we consider text mining mainly as text data mining Thus, our focus is ... analysis of patent text documents Dorre describes in [DGS99] the IBM Intelligent Miner for text in a scenario applied to patent text and compares it also to data mining and text mining Coupet [CH98]...

Ngày tải lên: 31/08/2012, 16:46

... trends for text mining applications appears to involve the integration of data mining and text mining into a single system The combination of data and text mining is referred to as “duo -mining ... techniques for their situation Text mining is similar to data mining, except that data mining tools are designed to handle structured data from databases or XML files, but text mining can work with unstructured ... and applications of text mining continue to increase Data mining has been shown to be useful in the areas of telecommunications, geospatial data sets, biomedical engineering, 11 and climate data...

Ngày tải lên: 31/08/2012, 17:12