securing and processing data mining models

... Preface Introduction 1.1 Data and Knowledge 1.2 Knowledge Discovery and Data 1.2.1 The KDD Process 1.2.2 Data Mining Tasks 1.2.3 Data Mining Methods 1.3 Graphical Models 1.4 Outline ... • Data Mining (using a variety of methods) • visualization (also in parallel to preprocessing, data mining, and interpretation) • interpretation, evaluation, and test of results • deployment and ... to data mining and knowledge discovery in databases Another web site well worth visiting for information about data mining and knowledge discovery is: http://www.dmoz.org/Computers/Software/Databases/Data...

Ngày tải lên: 14/07/2016, 15:32

... 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

... STREAMS: MODELS AND ALGORITHMS with the high-level data mining process, and discovers data evolution regularities as well Our analysis and experiments demonstrate two important data mining problems, ... stream mining, and a number of concepts related to sensor mining have also been discussed in Chapters 13 and 14 Conclusions and Summary Data streams are a computational challenge to data mining ... watermark 2 DATA STREAMS: MODELS AND ALGORITHMS volume of the underlying data is very large, it leads to a number of computational and mining challenges: With increasing volume of the data, it is...

Ngày tải lên: 08/11/2013, 02:15

... Split-Merge on www.verypdf.com to remove this watermark 18 DATA STREAMS: MODELS AND ALGORITHMS widely researched in the database, data mining and statistics communities [I 2, 18,22,20,21,24] because ... both hardware and software technologies, automated data generation and storagehas become faster than ever Such data is referred to as data streams Streaming data is ubiquitous today and it is often ... Data- An Introduction to Cluster Analysis MIey Series in Probability and Math Sciences [22] Ng R., Han J (1994) Efficient and Effective Clustering Methods for Spatial Data Mining Very Large Data...

Ngày tải lên: 08/11/2013, 02:15

... Demand Classification of Data Streams, Proc 2004 Int Con$ on Knowledge Discovery and Data Mining (KDD '04), Seattle, WA [4] Babcock B., Babu S., Datar M., Motwani R., and Widom J (2002) Models and ... Wang H and Yu P S (2003) Online mining of changesfrom data streams: Research problems and preliminary results, In Proceedings of the 2003 ACM SIGMOD Workshop on Management and Processing of Data ... for Mining High-speed Data Streams, Proceedings o the Ninth International f Conference on Knowledge Discovery and Data Mining [16] Garofalakis M., Gehrke J., Rastogi R (2002) Querying and mining...

Ngày tải lên: 08/11/2013, 02:15

... 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 ... sets, and their hybridizations, along with their roles in data mining We then present some advanced topics and new aspects of data mining related to the processing and retrieval of multimedia 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

... Kawasoe, and Setsuo Arikawa Online algorithms for mining semi-structured data stream In ICDM, pages 27-34,2002 [4] B Babcock, S Babu, M Datar, R Motwani, and J Widom Models and f Issues in Data Stream ... on data mining models and algorithms While these results show some interesting results in terms of generalizing existing data mining algorithms, our view is that data streams have special mining ... watermark 94 DATA STREAMS: MODELS AND ALGORITHMS spatial locations in the data at which the data is being reduced, those at which the data is increasing, and those from where the data is shifting...

Ngày tải lên: 15/12/2013, 13:15

... analytical processing and mining in data cubes, and management and mining o stream data We briefly review previous f research in these areas and point out the differences from our work In data warehousing ... management and querying of stream data ([8, 17, 18, 16]), and data mining (classification and clustering) on stream data ([22, 19, 25, 29, 2, 15, 3, 41) Although such studies lead to deep insight and ... the form of stream data and studies OLAP and mining over partially materialized stream data cubes Our data structure, to certain extent, extend the previous work on H-tree and Hcubing ([20])...

Ngày tải lên: 15/12/2013, 13:15

... over data streams Data elements arrive on multiple data streams, and the system examines each data item as it arrives and attempts to assign it to one of a finite set of classes using a data mining ... assumption that, in certain data- stream processing applications, recent data is more useful and pertinent than older data In such cases, we would like to answer questions about the data only over the ... J Gehrke, and M Riedwald Approximatejoin processing over data streams In Proc o the 2003 ACM SIGMOD Intl Con$ on Management f o Data, pages 40-51,2003 f [7] M Datar Algorithms for Data Stream...

Ngày tải lên: 15/12/2013, 13:15

... Introduction Data streams pose a unique challenge to many database and data mining applications because of the computational and storage costs associated with the large volume of the data stream ... conjunction with a variety of mining and query processing techniques in data stream processing Some key synopsis methods include those of sampling, wavelets, sketches and histograms In this chapter, ... space and time constraints on the computation process Many query processing, database operations, and mining algorithms require efficient execution which can be difficult to achieve with a fast data...

Ngày tải lên: 15/12/2013, 13:15

... Data Streams VLDB Conference [2] Aggarwal C, Han J., Wang J., Yu P (2004) On-Demand Classification of Data Streams ACM KDD Conference [3] Aggarwal C (2006) On Futuristic Query Processing in Data ... remove this watermark 204 DATA STREAMS: MODELS AND ALGORITHMS [31] Flajolet P., Martin G N (1985) Probabilistic Counting for Database Applications Journal of Computer and System Sciences, 31(2) ... www.verypdf.com to remove this watermark 206 DATA STREAMS: MODELS AND ALGORITHMS [66] Keim D A., Heczko M (2001) Wavelets and their Applications in Databases ICDE Conference [67] Kempe D., Dobra...

Ngày tải lên: 15/12/2013, 13:15

... problems and recent advances in join processing for data streams Stream processing is a young and exciting research area, yet it also has roots in and connections to well-established areas in databases ... Wang, and C Zaniolo Query languages and data models for database sequences and data streams In VLDB, pages 492-503,2004 [20] M Lee, W Hsu, C Jensen, B Cui, and K Teo Supporting frequent updates ... boundaries between Networks and Databases, especially in the emerging areas of sensor and peer-to-peer networks Data stream processing in these application domains requiresnetworked data management, solutions...

Ngày tải lên: 15/12/2013, 13:15

... near the data sources Analyzing and monitoring data in such environments requires data mining technology that is cognizant of the mining task, the distributed nature of the data, and the data influx ... www.verypdf.com to remove this watermark 288 DATA STREAMS: MODELS AND ALGORITHMS [12] Hulten, Geoff, Spencer, Laurie, and Domingos, Pedro (2001) Mining time-changing data streams In KDD [I 31 Jolliffe, ... related work, on data streams and stream mining Section and overview some of the background Section describes our method and Section shows how its output can be interpreted and immediately utilized,...

Ngày tải lên: 15/12/2013, 13:15

... Survey of Distributed Mining of Data Streams I FINALMODEL I DATA MINING ALGORITHM fi FIh'AL MODEL \ DATA MINING ALGORITHM ) DATA INTEGRATION Figure 13.1 Centralized Stream Processing Architecture ... 302 DATA STREAMS: MODELS AND ALGORITHMS Chen et a1 present GATES [7], a middleware for processing distributed data streams This middleware targets data stream processing in a grid setting and ... the data is distributed and arriving in the form of data streams A local algorithm for distributed data stream mining Having presented the general paradigm for distributed data stream mining and...

Ngày tải lên: 15/12/2013, 13:15

... Wang, and P S Yu On demand classification of data streams In KDD, 2004 [4] B Babcock, S Babu, M Datar, R Motwani, and J Widom Models and issues in data stream systems In I n Principles o Database ... [15] R Jin and G Agrawal Efficient decision tree construction on streaming data In SIGKDD, 2003 f [16] H Kargupta and K Sivakumar ExistentialPleasures o Distributed Data Mining Data Mining: Next ... watermark 330 DATA STREAMS: MODELS AND RCGORITHMS [lo] P Gibbons and S Tirthapura Estimating simple functions on the union of data streams In ACM Symposium on Parallel Algorithms and Architectures,...

Ngày tải lên: 15/12/2013, 13:15

... watermark DATA STREAMS: MODELS AND ALGORITHMS Hoeffding Inequality, 46, 174 Hoeffding Trees, 46 HPSTREAM 22 Iceberg Cubing for Stream Data, 112 Index Maintenance in Data Streams, 244 Indexing Data ... Quantiles and Equi-depth Histograms, 198 Query Estimation, 26 Query Processing in Sensor Networks, 337 Query Processing with Wavelets, 181 Querying Data Streams, 238 Random Projection and Sketches, ... 47 Damped Window Model for Frequent Pattern Mining, 63 Data Communication in Sensor Networks, 335 Data Distribution Modeling in Sensor Networks, 343 Data Flow Diagram, I36 Decay based Algorithms...

Ngày tải lên: 15/12/2013, 13:15

... 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