Data Mining

Social Data Mining offers a powerful alternative for optimization problems, for that reason it provides a comprehensible panoramic of the cultural phenomenon (Ochoa et al., 2006). Proceedings of the Tenth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Journal of the American Statistical Association, pp.

NEW FUNDAMENTAL TECHNOLOGIES IN DATA MINING

Data mining applications in healthcare. Healthcare and data mining. Data Warehouse and the Deployment of Data Mining Process. Data mining: application to the Leishmaniasis

Data Mining in Medical and Biological Research

Tsuchiya, F.(2007).The analysis of the near-miss cases of medical equipments using the text-mining technique, The 37th Annual Meeting of the Kanto-branch Japan Ergonomics Society.. Data mining block is the main part of the system that generates rules. Finally, comprehensibility and completeness of the generated rules are evaluated. The cost function of a data mining algorithm increases when invalidating a rule proportional to the preciseness of the rule..

Data Mining and Knowledge Discovery in Real Life Applications

ICDM'03: Proceedings of the Third IEEE International Conference on Data Mining.. properties and more importantly the consistency of the system (Cerchiari et al, 2006). During the data mining stage much useful knowledge is gained is respect of the application.. Rough set theory is one of the important methods for knowledge discovery. Also, the high dimensionality and imprecision of the data can be prohibitive.

An Efficient Tree-based Frequent Temporal Inter-object Pattern Mining Approach in Time Series Databases

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Hauskrecht, “Mining recent temporal patterns for event detection in multivariate time series data,” Int. Herrera- Avelar, “Perception based patterns in time series data mining”, Studies in Computational Intelligence, vol. Tseng, “Fuzzy data mining for time-series data”, Applied Soft Computing, vol. Fu, “A review on time series data mining”, Engineering Applications of Artificial Intelligence, vol.

Data warehouse - lý thuyết và thực tiễn

Ralph Kimball , Margy Ross- The Data Warehouse Toolkit Second Edition The Complete Guide to Dimensional Modeling, John Wiley &. Oana Muntean (2004), Data Warehouse Solutions for CRM, CompSysTech’2004 9. Vincent Rainardi (2008), Building a Data Warehouse With Examples in SQL Server,. Sudarshan Krithi Ramamritham, Data warehouse and Data Mining,. Watson (2005), Data Warehouse Architectures: Factors in the Selection. Anita Wasilewska, Data warehouse and Olap technology

Kỹ thuật mạng nơron và giải thuật di truyền trong khai phá dữ liệu và thử nghiệm ứng dụng

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Summarise the researches about data mining and knowledge discover in database. Study the algorithms in newtron newwork as well as genetic algorithm in data mining and the related problems

Phương pháp phân cụm dữ liệu không gian và ứng dụng trong việc xác định vị trí tối ưu đặt máy ATM

In Geographic Data Mining and Knowledge Discovery (pp. [HAKT06] Han, J., &. Data Mining: Concepts and Techniques. [HK06] Jiawei Han and Micheline Kamber (2006), Data Mining: Concepts and Techniques. [JOSAS09] Joshi, D., Samal, A., &. [JOSAS10] Joshi, D., Samal, A., &. [ODC03] Oracle (2003), Oracle Data Mining Concepts 10g Release 1 (10.1), Oracle Corporation.. Ng, Jiawei Han, CLARANS (2002): “A Method for Clustering Objects for Spatial Data Mining”, IEEE, 9-10..

Ứng dụng lý thuyết tập tho trong khai phá dữ liệu kinh tế - tài chính

Deogun, "Data mining : Research Trends, Challenges, and Applications". Lixiang Shen (2001), data mining techniques based on rough set theory, Doctoral Thesis, national university of singapore. Lixiang Shen, Han Tong Loh Applying Rough sets to Market timing decisions". Femlandez-baizán - Emestina Menasalvas Ruiz - José M.Pena Sánchez , Integrating RDMS and Data mining capabilities using Rough sets..

Kết hợp học quan hệ và học thống kê cho phân lớp dữ liệu đa quan hệ

Third IEEE International Conference on Data mining (ICDM 2003), page 609-612, Melbourne, Florida, USA. Journal of Machine Learning, volume 39, number 2/3, page 103-134.. Multi-Relational Data Mining Workshop at KDD-2002.. In Proceedings of IEEE Intermational Conference on Data Mining, ICDM 2003.. Machine Learning, 5(3): page 239-266.

Ranking objective interestingness measures with sensitivity values

Briand, “Using information- theoretic measures to assess association rule interestingness,” ICDM'05 Proceedings of the 5th IEEE International Conference on Data Mining, (2005) 66. Zighed, “Implication strength of classification rules,” ISMIS'06, Proceedings of the 16th International Symposium on Methodologies for Intelligent Systems – LNAI . Fu, “Mining Patterns That Respond to Actions,” ICDM'05, Proceedings of the Fifth IEEE International Conference on Data Mining .

Xử lý văn bản tiếng việt theo mô hình tập thô dung sai

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The process of data mining and knowledge discovery in general, methods, algorithms, mathematic problems incident to this field. Text mining in particular is a narrow category of data mining used when processed data are in text form. Studying rough set theories and its applications • Studying some algorithms related to classification and clustering. Conducting installation test of some clustering algorithms. Studying some Vietnamese characteristics and methods of term extraction in Vietnamese.

Xử lý văn bản tiếng việt theo mô hình tập thô dung sai

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Khai phỏ dữ liệu – Data Mining Khai phỏ dữ liệu[1] là quỏ trỡnh trớch rỳt cỏc thụng tin ẩn chứa trong cỏc kho dữ liệu lớn, đụi khi cũn được gọi là khai phỏ tri thức từ dữ liệu (knowledge mining from data). Hỡnh 1.1: Data mining – tỡm kiếm tri thức trong dữ liệu Nội dung chớnh sẽ trỡnh bày. Cỏc khỏi niệm cơ bản trong khai phỏ dữ liệu. Một số kỹ thuật trong khai phỏ dữ liệu. Cỏc ứng dụng và xu hướng trong khai phỏ dữ liệu.

Ứng dụng mạng Nơron trong phân tích quan điểm cộng đồng mạng

Sentiment analysis and opinion mining is an important task in natural language processing and data mining. Therefore, recently there have been raising a large number of studies focusing on the problem of opinion mining and sentiment analysis. This thesis focusing on two of the above problems.

Phân cụm các đối tượng phức tạp trong một lớp đối tượng

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Nguyen Kim Anh has forced me choose the subject "Data Mining in object-oriented databases" to do research and thesis. Based on this result, we apply it to cluster on the object-oriented database models. To construct a measure of similarity between the objects, we study of similar measure on the type of pure quantitative data, quantitative data and object-oriented databases model, some methods such as AOI, CH .

An integrated approach for an academic advising system in adaptive credit-based learning environment

De Bra, “Personalized Links Recommendation Based on Data Mining In Adaptive Educational Hypermedia Systems,” in Proc. Punch HI, “Using genetic algorithm for data mining optimzation in an educational web-based system,” in Proc. Caserta, The Data Warehouse ETL Toolkit, Wiley Publishing, Inc. Anh Duong, “An ontology-based tool for integrating learning heterogeneous information resources,” in Proc. Ross, The Data Warehouse Toolkit

Xử lý văn bản tiếng Việt theo mô hình tập thô dung sai

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Khai phỏ dữ liệu – Data Mining Khai phỏ dữ liệu [1] là quỏ trỡnh trớch rỳt cỏc thụng tin ẩn chứa trong cỏc kho dữ liệu lớn, đụi khi cũn được gọi là khai phỏ tri thức từ dữ liệu (knowledge mining from data). Hỡnh 1.1: Data mining – tỡm kiếm tri thức trong dữ liệu Nội dung chớnh sẽ trỡnh bày. Cỏc khỏi niệm cơ bản trong khai phỏ dữ liệu. Một số kỹ thuật trong khai phỏ dữ liệu. Làm sạch dữ liệu (Data cleaning): loại bỏ nhiễu và cỏc dữ liệu khụng đồng nhất 2.

Mô hình khai phá quan điểm dựa trên đặc trưng các đánh giá sản phẩm trong tiếng Việt

In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD ’04, pages 168–177, New York, NY, USA, 2004. In Proceedings of the APSCC 2011 conference, inpress, Korea, 2011.. In Proceedings of the 2010 Second International Conference on Knowledge and Systems Engineering, KSE ’10, pages 152–157, Washington, DC, USA, 2010. In Proceedings of the COLING/ACL on Main conference poster sessions, COLING-ACL ’06, pages 483–490, Stroudsburg, PA, USA, 2006.

An integrated approach for an academic advising system in adaptive credit-based learning environment

“Personalized Links Recommendation Based on Data Mining In Adaptive Educational Hypermedia Systems,” in Proc. Punch HI, “Using genetic algorithm for data mining optimzation in an educational web-based system,” in Proc. Caserta, The Data Warehouse ETL Toolkit, Wiley Publishing, Inc. Anh Duong, “An ontology- based tool for integrating learning heterogeneous information resources,” in Proc. Ross, The Data Warehouse Toolkit.

Một cách tiếp cận trong khai phá dữ liệu để chuẩn đoán bệnh tim cho bệnh nhân ngoại trú

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