knowledge discovery process models

... phase – Pattern Discovery. Both the site topology and page classifications are fed into the information filter, which belongs to the Pattern Analysis process and makes use of the preprocessed content ... information to automatically filter the results of the knowledge discovery algorithms for patterns that are potentially interesting [5]. The pattern discovery phase uses the existing data mining techniques ... Pre-processing, Pattern discovery and Pattern analysis. A detailed description will be given for each part of them, however, special attention will be paid to the user navigation patterns discovery...

Ngày tải lên: 31/08/2012, 16:46

... research issues involved in its development. 1 Introduction: Business Process Modelling and Contact Centres Many companies use “business process models (BPMs) to specify communicative (and many other) ac- tions ... to specify 101 DUDE: a Dialogue and Understanding Development Environment, mapping Business Process Models to Information State Update dialogue systems Oliver Lemon and Xingkun Liu School of Informatics University ... allows non-expert developers to produce complete spoken di- alogue systems based only on Business Process Models (BPM) describing their applications. The environment includes automatic generation of...

Ngày tải lên: 22/02/2014, 02:20

... on Knowledge Discovery from Sensor Data. The second Sensor-KDD workshop was held in Las Vegas on August 24, 2008, in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and ... well as absolute errors resulting from predictive models was presented by Rodrigues el al. Fang et al. presented a two-stage knowledge dis- covery process, where offline approaches are utilized to ... (1996) Monitoring Incremental Histogram Distribution 41 Work developed in the context of the Project Knowledge Discovery from Ubiq- uitous Data Streams (PTDC/EIA-EIA/098355/2008). References 1. Ayres-de-Campos,...

Ngày tải lên: 22/03/2014, 09:20

... of a flexible development process. Management Science, 47(1) 133–150. Maier, R., U. Remus. 2002. Defining process- oriented knowledge management strategies. Knowledge and Process Management, 9(2) 103–118. Malone, ... Inter-firm sharing of process knowledge: exploring knowledge markets. Knowledge and Pro- cess Management 9(1) 12–22. Benner, M. J., M. L. Tushman. 2003. Exploitation, exploration, and process management: ... Quality Management rely heavily on process models. One purpose (Table 5) is to map how work is being done, the “as is” process. However, eliciting the knowledge of PD process par- ticipants is notoriously...

Ngày tải lên: 23/03/2014, 04:20

... step of knowledge discovery in databases, the so-called KDD process for converting raw data into useful knowledge. The KDD process consists of a series of transformation steps: • Data preprocessing, ... or models: classification models, clustering models, association patterns, etc. • Postprocessing of data mining results, which assesses validity and usefulness of the extracted patterns and models, ... of the urban/rural environment. The development of a geographic knowledge discovery process will be essential to be able to gain knowledge on how some assumed spatiotemporal relationships between...

Ngày tải lên: 25/03/2014, 11:52

... business processes (e.g., causal relations, order- ing of activities, etc.). Second, process mining could be used for Delta analysis, i.e., comparing the actual process with some predefined process. ... and used to improve the process. Consider, for example, the so-called reference models in the context of SAP. These models describe how the system should be used. Using process mining, it is possible ... work and differences between actual processes and predefined processes can be used to trigger Business Process Reengi- neering (BPR) efforts or to configure process- aware information systems”...

Ngày tải lên: 30/03/2014, 16:20

... procedures. Data acquired from force platforms, processed with specific biomechanical models, represent a favourable condition to apply knowledge dis- covery processes effectively. In this study, data ... logical implication: X Y A scheme of the KDD processFigure 1 A scheme of the KDD process. Input data are initially selected and target data are isolated. Pre-processing and transformation are performed ... are performed to ensure the database reliability. Data mining is the core analysis. The knowledge discovery process ends with the interpretation of the results. ⊆ ⇒ Journal of NeuroEngineering...

Ngày tải lên: 19/06/2014, 10:20

Ngày tải lên: 28/06/2014, 10:20

... manufacturing industries with 24/7 processing. The challenge is to develop models that constantly monitor data in order to detect changes from the steady state. Such changes may indicate failure in the process, providing ... 583, 935, 1015, 1197 K-medoids, 281 K2 algorithm, 189 Kernel density estimation, 1197 Knowledge engineering, 816 Knowledge probing, 994 Kohonen’s self organizing maps, 284, 288, 938, 1125 Kolmogorov-Smirnov, ... 616 BPM (Business performance management), 1043 O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09823-4, © Springer Science+Business Media,...

Ngày tải lên: 04/07/2014, 05:21

... Rokach Editors Data Mining and Knowledge Discovery Handbook Second Edition 123 Contents 1 Introduction to Knowledge Discovery and Data Mining Oded Maimon, Lior Rokach 1 Part I Preprocessing Methods 2 ... There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data. Knowledge Discovery in Databases (KDD) is the process of identifying valid, novel, ... Rokach Preface Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to dis- cover and to extract knowledge...

Ngày tải lên: 04/07/2014, 05:21

... Review of Web Document Clustering Approaches Nora Oikonomakou, Michalis Vazirgiannis 931 49 Causal Discovery Hong Yao, Cory J. Butz, Howard J. Hamilton 949 50 Ensemble Methods in Supervised Learning Lior ... and Aggregation Operators Vicenc¸ Torra 999 53 Parallel And Grid-Based Data Mining – Algorithms, Models and Systems for High-Performance KDD Antonio Congiusta, Domenico Talia, Paolo Trunfio 1009 XVIII...

Ngày tải lên: 04/07/2014, 05:21

... important and neces- sary. 1.1 The KDD Process The knowledge discovery process (Figure 1.1) is iterative and interactive, consisting of nine steps. Note that the process is iterative at each step, ... of the end-user and the environment in which the knowledge discovery process will take place (including relevant prior knowledge) . As the KDD process proceeds, there may be even a revision and ... creating a data set on which discovery will be performed. Having defined the goals, the data that will be used for the knowledge discovery should 1 Introduction to Knowledge Discovery and Data Mining Oded...

Ngày tải lên: 04/07/2014, 05:21

Ngày tải lên: 04/07/2014, 05:21

Ngày tải lên: 04/07/2014, 05:21

Ngày tải lên: 04/07/2014, 05:21

Ngày tải lên: 04/07/2014, 05:21