... quan trong trong qui trình KDDKnowledge12345 Data cleaning Data warehouseTask relevant data Data mining Pattern Evaluationselection Data integrationĐịnh nghĩa Kho Dữ Liệu (tt) •Theo ... Dữ liệu tổng hợp 65/12/2009Biến thời gian9• Data •Time•01/97•02/97•03/97• Data for January• Data for February• Data for March• Data •Warehouse5/12/2009Ổn Định•Là lưu trữ ... ra quyết định có tính lãnh đạo của tổ chức, với các dữ liệu có mức độ phức tạp và quan trọng Data mining: khám phá, tìm kiếm dữ liệu cho các kiến thức mới không dự biết trước Một số thuật toán...
... trộn dữ liệu (merge data) từ nhiều nguồn khác nhau vào một kho dữ liệuBiến đổi dữ liệu (data transformation): chuẩn hoá dữ liệu (data normalization)Thu giảm dữ liệu (data reduction): thu ... liệuLàm sạch dữ liệu (data cleaning/cleansing): loại bỏ nhiễu (remove noise), hiệu chỉnh những phần dữ liệu không nhất quán (correct data inconsistencies)Tích hợp dữ liệu (data integration): ... tiền xử lý dữ liệuQuá trình xử lý dữ liệu thô/gốc (raw/original data) nhằm cải thiện chất lượng dữ liệu (quality of the data) và do đó, cải thiện chất lượng của kết quả khai phá.Dữ liệu...
... Thống Kê, ĐH Kinh Tế TPHCM 30 Hình 5.9: Bảng Model Model name: Tên mô hình Use partition data: phân vùng dữ liệu Mode. phương pháp được sử dụng để xây dựng mô hình. General model: mô ... TPHCM 24 Hình 5.3: Bảng tùy chọn neural Model: Model name: Tên mô hình Use partitioned data: Sử dụng dữ liệu phân vùng Method: Phương pháp. Có sáu phương pháp để xây dựng mô hình mạng...
... of others)Why the confusion?The evil Multicollinearity!!(correlated X’s) Data Mining - What is it?•Large datasets•Fast methods•Not significance testing•Topics–Trees (recursive ... Lift3.31Multiple testing •50 different BPs in data, m=49 ways to split •Multiply p-value by 49•Bonferroni – original idea•Kass – apply to datamining (trees)•Stop splitting if minimum p-value ... 50 Predict 80 Predict 100Predict 130Predict 20 Multiple testing •50 different BPs in data, 49 ways to split •Sunday football highlights always look good!•If he shoots enough times,...
... Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionalityAre all the patterns interesting?Major issues in data mining 5What Is Data Mining? Data ... E, F13 Data Mining: A KDD Process Data mining: the core of knowledge discovery process. Data Cleaning Data IntegrationDatabases Data WarehouseTask-relevant Data Selection Data Mining Pattern ... 16 Data Mining Functionalities15 Data Mining: On What Kind of Data? Relational databases Data warehousesTransactional databasesAdvanced DB and information...
... the large itemsets of the database. Table 1: Transaction database TID Items 100 ABCD 200 ABCDF 300 BCDE 400 ABCDF 500 ABEF Hash-Based Approach to Data Mining 11 CHAPTER ... of data structure and algorithm, hash-method often used an array structure to store database. If the database is too large, we can apply multi-level. By this deed, we are able to access database ... approach to datamining focuses on the hash-based method to improve performance of finding association rules in the transaction databases and use the PHS (perfect hashing and data shrinking)...
... eld is being born, called data engineering. One of the essential notions of data engineering is metadata. It is data about data , i.e., a data description of other data. As an example we can ... ledge-basedRankingAccess to data repositoriesLiterature SearchHypothesis Data and e vidence Data M ining Data A nalysisExperim entplanningKnow ledge-basedRankingAccess to data repositoriesLiterature ... numerals (data messages), i.e., by data in the general sense introduced above. Data whose origin is completely unknown to us can hardly bring any information. We have to “under-stand” the data, ...
... process.REFERENCES[1] Akeel Al-Attar, 1998, DataMining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, DataMining Techniques: For Marketing, ... Analysis(Consistent family of criteria)Development of questionnaireSurveyMUSA Data Mining Search EnginesRule Induction Engine Data Mining GlobalSatisfaction PredicctionSatisfactionFunctionsPatterns ... NewClustersSeparation of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUESNikolaos...
... actual mining due to their limited data capacity and inability to handle certain types of operations needed in data preparation, data surveying, and data modeling. For exploring small data sets, ... of data and the data set, and various ways of structuring data in order to work with it. Problems that afflict the data and the data set (and also the miner!) were introduced. All of this data, ... information is crucial to data mining. It is the very substance enfolded within a data set for which the data set is being mined. It is the reason to prepare the data set for mining to best expose...
... activities. Data Issue: Representative Samples A perennial problem is determining how much data is needed for modeling. One tenet of data mining is “all of the data, all of the ... prepared, the next step is to prepare data sets, which is to say, to consider the data as a whole.) Data Set Issue: Reducing Width Data sets for mining can be thought of as being ... considered alone. Data Set /Data Survey Issue: Well- and Ill-Formed Manifolds This is really the first data survey step as well as the last data preparation step. The data survey, discussed...
... understand the data. Once the assay is completed, the miningdata set, or sets, can be assembled. Given assembled data sets, much preparatory work still remains to be done before the data is ... access to data about the whole population, it is necessary to deal with data that represents only some part of the population. Such data is called a sample. Even if the whole of the data ... merging separate data streams, it may well be that the time of data capture is different from stream to stream. While this is partly a data access issue and is discussed in Data Access Issues”...
... alphas, but also for conducting the data survey and for addressing various problems and issues in data mining. Becoming comfortable with the concept of data existing in state space yields insight ... the original data sample. Random sampling does that. If the original data set represents a biased sample, that is evaluated partly in the data assay (Chapter 4), again when the data set itself ... important metrics in both statistical analysis and data mining. It is this concept of “level of confidence” that allows sampling of data sets to be made. If the miner decided to use...
... end of a line of input.2OverviewOracle DataMining (ODM) embeds datamining within the Oracle database. The data never leaves the database — the data, data preparation, model building, and ... Export and Import Data mining models can be moved between Oracle databases or schemas. For example, datamining specialists may build and test datamining models in a datamining lab. After ... import all datamining models as well as other database objects■Run DBMS _DATA_ MINING. import_model to import datamining models only, either all models or selected modelsThe Oracle Data Pump...
... the status of the mining operations as they are executed. 1.2 Oracle9i DataMining ComponentsOracle9i DataMining has two main components:■Oracle9i DataMining API ■ Data Mining Server (DMS)1.2.1 ... Concepts 1-11Basic ODM ConceptsOracle9i DataMining (ODM) embeds datamining within the Oracle9i database. The data never leaves the database — the data, data preparation, model building, and ... standards. Oracle9i DataMining will comply with the JDM standard when that standard is published.1.2.2 DataMining ServerThe DataMining Server (DMS) is the server-side, in-database component...