data information and knowledge management ppt

... statistics, ma- chine learning, and data visualization. Data mining has emerged as a direct outcome of the data explosion that resulted from the success in database and data warehous- ing technologies ... of such streams of data and their characteristics are: • a pair of Landsat 7 and Terra spacecraft generates 350 GB of data per day in NASA Earth Observation System EOS (Park and Kargupta, 2002); ... NetFlow data (Coughlan, 2004). The widespread dissemination and rapid increase of data stream generators cou- pled with high demand to utilize these streams of data in critical real-time data analysis

Ngày tải lên: 04/07/2014, 05:21

... turnstile data stream model where insertion and deletion from the data are allowed. The algorithm dynamically works with any range of data and does not need any prior knowledge about the data. The ... mobile micro-database to store portfolio data and information about user’s preferences, and construction of the WatchList and this is the first point of interaction between the client and the server. ... running time and accuracy. Perlman and Java (Perlman and Java, 2003) have proposed an approach to mine astronomical time series streams. The technique starts with handling missing data using interpolation.

Ngày tải lên: 04/07/2014, 05:21

... dimensional data is partitioned into sequential chunks based on their arrival time. Let S i be the data that came in between time t i and t i+1 . Figure 40.1 shows the distri- bution of the data and ... if c ∈{0, 1} and the class distribution is uniform, we have MSE r = .25. Since a random model does not contain useful knowledge about the data, we use MSE r , the error rate of the random classifier ... overfitting and conflicting concepts. We should not discard data that may still provide useful information to classify the current test examples. Figure 40.2(c) shows that the combination of S 2 and S

Ngày tải lên: 04/07/2014, 05:21

... requirements and estimation of risk is performed. In the data understanding phase data collected and char- acterized. Data quality is also assessed. During data preparation, tables, records and attributes ... attempt to standardise the process of Data Mining. In CRISP-DM, six interrelated phases are used to describe the Data Mining process: business understanding, data understanding, data prepa- ration, ... timely manner. 6. Security. Data and information about the Data Mining problem may contain sensitive information and must not to be revealed outside the project. Access to information must be controlled.

Ngày tải lên: 04/07/2014, 06:20

... knowledge and data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and effective use of stored knowledge and ... amounts of data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and effective use of stored knowledge and data. ... provision of standards in terminology, vocabularies and formats to support multi- linguality and sharing of data, • standards for the abstraction and visualization of data, • standards for interfaces

Ngày tải lên: 04/07/2014, 06:20

... however, in the areas where data is accompanied with knowledge bases, and where data repositories storing heterogenous data from different sources took ground. 58 Data Mining in Medicine 1129 ... input, a hidden and and output layer of nodes is given in Figure 58.3.b. The number of nodes in the input and output layers is domain-dependent and, respectively, is related to number and type of ... 1997), case classification in the domain of ultrasonography and body computed tomography (Kahn and Anderson, 1994), and 1122 Nada Lavra ˇ c and Bla ˇ z Zupan a CBR-based expert system that advises

Ngày tải lên: 04/07/2014, 06:20

... for documents (e.g., unstructured data) , metadata (semi structured to structured data, mostly in XML) and extracted information (mostly struc- tured, tabular data) . NHECD assumes that all target ... implemented on Drupal, which stores and manages the entire frontend database (including user information and usage patterns). 2. The user interface component that handles all the input or requests ... possible to perform data mining on the results. Data mining will result in validated results and further knowledge discovery. This part of NHECD results is targeted at Nanotox scientists and regulators.

Ngày tải lên: 04/07/2014, 06:20

... ER and EER and the kinds of schemas built for databases, refer to nearly any standard database text We like Halpin (1995) and Ullman (1989) Understanding Taxonomies 167 people, databases, and ... preliminary definition and save the elaboration until next chapter An ontology defines the common words and concepts (meanings) used to describe and represent an area of knowledge, and so standardizes the ... definitions of basic concepts in the domain and the relationships among them They encode knowledge in a domain and also knowledge that spans domains So, they make that knowledge reusable An ontology includes

Ngày tải lên: 14/08/2014, 12:20

... Apostolou, Andreas Abecker and Ron Young Knowledge Asset Management 1-85233-583-1 Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos Uncertainty Handling and Quality Assessment in Data Mining ... Tan, E.F.Khor and T.H Lee Multiobjective Evolutionary Algorithms and Applications 1-85233-836-9 Nikhil R Pal and Lakhmi Jain (Eds) Advanced Techniques in Knowledge Discovery and Data Mining 1-85233-867-9 ... Papadopoulos and Yannis Theodoridis R-trees: Theory and Applications 1-85233-977-2 Sanghamitra Bandyopadhyay, Ujjwal Maulik, Lawrence B Holder and Diane J Cook (Eds) Advanced Methods for Knowledge

Ngày tải lên: 07/09/2020, 13:19

... This allowed for more advanced data access and querying of available data sets tranSMART: knowledge management data warehouse To make the data collected in OpenClinica and the OncoTrack DB accessible ... different data levels and data types into separate study-trees to better organise the different categories (clinical data and lab data) Under the Clinical Data tree, general subject information ... are stored The Lab Data stores data generated in the lab (e.g Treatment Data, OMICS Data) In each subtree under the “Treatment Data? ?? and the “OMICS Data? ??, the subject/ sample information as well

Ngày tải lên: 25/11/2020, 12:08

... processes as well .Knowledge and knowledge management processes, use cases, and the AKMSKnowledge management and knowledge processes can be supported, but notautomatically performed, by information ... data, information, or knowledge through e-mail,automated alerts, and data, information and knowledge base updates• Retrieving through computer-based querying data, information andknowledge of the ... publication and distribution of content, information management, andknowledge management Structured data management is broken down further intoportals focused on OLTP, DSS, and batch applications, and

Ngày tải lên: 07/07/2023, 01:12

... Memory Management Basics 2 Non-Memory Resource Management 12 Implicit Resource Management 13 Explicit Resource Management 26 Optimizing Garbage Collection 36 Lab 9: Memory and Resource Management ... Module 9: Memory and Resource Management " "" " Memory Management Basics ! Developer Backgrounds ! Manual vs. Automatic Memory Management ! Memory Management of .NET ... handles the allocation and release of an object’s memory resources. Module 9: Memory and Resource Management 3 Developer Backgrounds ! COM # Manually implement reference counting and

Ngày tải lên: 17/01/2014, 08:20

... and suggests further research KNOWLEDGE, KNOWLEDGE MANAGING AND KNOWLEDGE MANAGEMENT SYSTEMS Numerous views of knowledge are discussed in the information systems (IS), strategy, management, and ... network-based knowledge processes and flows, to create new knowledge and to share and employ existing knowledge to solve problems, make decisions, and take actions 195 Knowledge and Process Management ... absorptive capacity That is, to use ICT and KMS to identify and acquire external information and knowledge, and to process, analyse and interpret this information and knowledge An example of the former

Ngày tải lên: 24/01/2014, 00:20

... sound and agreed basis is established for scope management, earned value management, and quality management Product Descriptions provide clarity for time and resource estimates and risk management, ... authorization and receipt of work; issue and change management; status collection, analysis and reporting; viability consideration; corrective action; and escalation of concerns to the Project Board and ... on the full depth and range of the PMBOK Guide® and other sources to complete project management work The intention of PRINCE2 is to organize and supplement project management knowledge It assumes

Ngày tải lên: 24/01/2014, 09:20

... accumulation in macrophages and other cells, to disease development The relative lack of knowledge is somewhat surprising, and might be due, at least in part, to the availability of ERT, and thus the feeling ... feeling in the medical and research community that there is little need to understand the basic mechanisms of disease development and progression However, a renewed interest in GD, and in the biology ... be involved in development of disease pathology (Futerman & van Meer, 2004), and then discuss disease management and possible new therapeutic options, a number of which have been proposed over

Ngày tải lên: 12/02/2014, 19:20

... reflect all public information and aggregate the private information of individual investors presumably communicate that aggregate information to managers and current and potential investors. ... accounting performance and CEO turnover include Weisbach (1988), Murphy and Zimmerman (1993), Lehn and Makhija (1997), and DeFond and Park (1999), while Blackwell, Brickley, and Weisbach (1994) ... corporate reporting (voluntary and mandatory), 2) information dissemination via the media and Internet channels, and 3)... Investigation.” Journal of Accounting and Economics 7, no 1-3: 43-66

Ngày tải lên: 17/02/2014, 09:20

... systemic-constructivistic Project Management approach Objects of our work are project management, process management, program management, the management of project oriented companies and crisis management We communicate ... Management of Ireland The Institute of Project Management of Ireland was founded in 1989 to help individuals and organisations in both the public and private sectors to develop a knowledge of and high-quality ... in Project Management and to establish and administer a certification process that has Irish and International recognition and acceptance The Institute of Project Management of Ireland's web site

Ngày tải lên: 18/02/2014, 11:20

... Multimedia Data Mining 58 Data Mining in Medicine Nada Lavra ˇ c, Bla ˇ z Zupan 1111 59 Learning Information Patterns in Biological Databases - Stochastic Data Mining Gautam B. Singh 1137 60 Data Mining ... Rokach 959 51 Data Mining using Decomposition Methods Lior Rokach, Oded Maimon 981 52 Information Fusion - Methods and Aggregation Operators Vicenc¸ Torra 999 53 Parallel And Grid-Based Data Mining ... 759 40 Mining Concept-Drifting Data Streams Haixun Wang, Philip S. Yu, Jiawei Han 789 41 Mining High-Dimensional Data Wei Wang, Jiong Yang 803 42 Text Mining and Information Extraction Moty Ben-Dov,...

Ngày tải lên: 04/07/2014, 05:21

... understanding phenomena from the data, analysis and prediction. The accessibility and abundance of data today makes Knowledge Discovery and Data Mining a matter of considerable importance and necessity. ... Process of Knowledge Discovery in Databases. be determined. This includes finding out what data is available, obtaining additional necessary data, and then integrating all the data for the knowledge discovery ... the interactive and iterative aspect of the KDD is taking place. It starts with the best available data set and later expands and observes the effect in terms of knowledge discovery and modeling. 3....

Ngày tải lên: 04/07/2014, 05:21

... analyze, and investigate such very large data sets has given rise to the fields of Data Mining (DM) and data warehousing (DW). Without clean and correct data the usefulness of Data Mining and data ... areas that include data cleansing as part of their defining processes are: data warehousing, knowledge discovery in databases, and data/ information quality management (e.g., Total Data Quality Management ... Maletic and Andrian Marcus Total Data Quality Management (TDQM) is an area of interest both within the research and business communities. The data quality issue and its integration in the entire information...

Ngày tải lên: 04/07/2014, 05:21