[PDF] Top 20 Data Mining for Library Borrowing History Records
Has 10000 "Data Mining for Library Borrowing History Records" found on our website. Below are the top 20 most common "Data Mining for Library Borrowing History Records".
Data Mining for Library Borrowing History Records
... rule mining)的技術為基礎，在讀者的借閱歷史資料中找出關連法 則，再以這些結果分析讀者和借閱書籍之間的關係。根據讀者的興趣，利用推薦系統中 常用的協力式過濾(collaborative filtering)可以找出適合的推薦書目清單，再以內容導向 過濾(content-based filtering)的方式，將推薦清單依照讀者的興趣做個人化排序後再推薦 給讀者。這套推薦系統已被實作在交通大學浩然圖書館的 ... See full document
18
An Efficient Algorithm for Mining Frequent Itemsets over the Entire History of Data Streams
... call records in telecommunications, etc. Mining such streaming data differs from traditional data mining in following aspects [3]: First, each data element in streaming ... See full document
10
A New Data Hiding Method via Revision History Records on Collaborative Writing Platforms
... new data hiding method via collaboratively-written articles with forged revision history records on collaborative writing platforms is ...revision history created through a simulated process ... See full document
21
A New Data Hiding Method via Revision History Records on Collaborative Writing Platforms
... new data hiding method via collaboratively-written articles with forged revision history records on collaborative writing platforms is ...revision history created through a simulated process ... See full document
23
Using data mining technology to provide a recommendation service in the digital library
... formats for digital publications such as audio, video, picture, ...digital library. The association rules and clustering along with the data mining methods have been applied to discover the ... See full document
14
Using data mining technology to solve classification problems - A case study of campus digital library
... past borrowing records. The mining result shows that all readers can be categorized into five clusters, and each cluster has its own ...digital library can anticipate a reader’s needs in ... See full document
15
Data Types Generalization and Transformation for Data Mining Algorithms
... the data mining methods is usually the key factor to determine the kind of data mining methods should be ...of data mining algorithms and four kinds of data forms, and ... See full document
1
Information granulation based data mining approach for classifying imbalanced data
... of data mining. When learning from imbalanced data in which most examples are labeled as one class and only few belong to another class, traditional data mining approaches do not have a ... See full document
14
Efficient Data Mining for Path Traversal Patterns
... content. For ex- ample, in a WWW environment, to reach a sibling node a user is usually inclined to use “backward” icon and then a forward selection, instead of opening a new ...made for ease of traveling ... See full document
13
Fuzzy data mining for interesting generalized association rules
... of mining generalized association rules for quantitative ...rules mining algorithm for extracting implicit knowledge from transactions stored as quantitative ...later mining processes, ... See full document
33
A Hybrid Data Mining Architecture for Customer Retention
... Competition in the wireless telecommunications industry is fierce. To maintain profitability, wireless carriers must control churn, which is the loss of subscribers who switch from one carrier to another. This paper ... See full document
22
Data Mining
... 1.認知面：[使學生理解、應用、分析、綜合、比較、推論、評估本課程之理論與概念]： Data mining, or called knowledge discovery, is the processes of analyzing data from different perspectives, deriving useful information, and finally ... See full document
2
Data Mining
... 資料挖掘簡介 文件資料挖掘簡介 網路代理人設計 文件資訊抽去 樣式歷史資料抽取與應用. 四、先修科目 四、先修科目 (Pre Course)[r] ... See full document
3
Data Mining
... is Data Mining? (4/4) Data mining is sifting through very large amounts of data for useful ...information. Data mining uses artificial intelligence techniques, ... See full document
30
An ACS-based Framework for Fuzzy Data Mining
... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...about data mining and most of them focused on mining from binary-valued ...Fuzzy ... See full document
29
An ACS-based Framework for Fuzzy Data Mining
... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...about data mining and most of them focused on mining from binary-valued ...Fuzzy ... See full document
28
Performance-based data distribution for data mining applications on grid computing environments
... of data mining using Grid ...of data. Therefore, if data can be distributed to every computer in the world and participates in the Grid with each host processing part of the data and ... See full document
28
Data mining based storage assignment heuristics for travel distance reduction
... enhancing the performance of order picking through proper storage assignment than on utilization of the storage facility. With the development of WMS, products’ order frequency could be recorded and applied to the ... See full document
10
Mining Frequent Itemsets for data streams over Weighted Sliding Windows
... windows for data stream ...weight for each window. Thus, a more significant data section can be assigned a higher weight, which will make the mining result closer to user’ s ...from ... See full document
6
“Data Mining Techniques
... The objectives of this courses are 1.To provide fundamental concepts and skills for artificial neural networks (ANNs). 2.To impart such the knowledge via detailed instruction and in-class exercises 3.To ensure a ... See full document
3
相關主題