[PDF] Top 20 Using multi-attribute predicates for mining classification rules
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Using multi-attribute predicates for mining classification rules
... required for constructing multi-attribute predicates with better inference ...and multi-attribute predicates with strong in- ference powers are identi ...on using ... See full document
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Finding fuzzy classification rules using data mining techniques
... data mining technique to discover fuzzy rules for clas- sification problems based on the Apriori algo- ...quantitative attribute with a pre- specified number of various linguistic ...tion ... See full document
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Elicitation of classification rules by fuzzy data mining
... Data mining techniques can be used to find potentially useful patterns from data and to ease the knowledge acquisition bottleneck in building prototype rule-based ...data mining technique consisting of two ... See full document
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On the evaluation of attribute information for mining classification rules
... A two-phase approach for classification rule mining was explored in [6], where given a large training set of data tuples, the first phase, referred t o as featur[r] ... See full document
8
Mining fuzzy association rules for classification problems
... data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group ...association ... See full document
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Dynamic mining of multi-supported association rules with classification ontology
... data mining is association rule mining. In real world, data mining analysts usually are confronted with a dynamic environment; the database would be changed over time, and the analysts may need to ... See full document
8
Multi-attribute optimization using body concept models
... simulations are performed in parallel, and help you understand the relation between global and local stiffness and the forces between body and chassis, as well as their influence on the attribute targets. ... See full document
2
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
... of mining association rules among items in a large database of sales ...transactions. Mining association rules means that, given a database of sales transactions, to discover all associations ... See full document
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Incremental mining of generalized association rules under classification ontology and support constraint update
... association rules from a large business database, has been recognized as an important topic in the data mining ...of classification ontology (taxonomy) and the setting of parameter constraints, such ... See full document
6
Perfect Hashing Schemes for Mining Association Rules
... data mining association rules, as in the DHP algorithm that utilizes the hash table in identifying the validity of candidate itemsets according to the number of the table's bucket ... See full document
1
A Structured Overlay for Multi-Attribute Range Queries
... query, Multi Attribute 一、導論 P2P 網路已發展多年，如何有效搜尋資源一 直是許多相關研究的重點。目前的搜尋方式主要 分為非結構化與結構化兩種。非結構化的搜尋方 法主要以擴播方式傳送訊息，相關研究主要在於 改良擴播方式，如何利用最少的訊息量，達到最 大的搜尋範圍，但非結構化方法並不能保證一定 找 得 到 所 需 的 資 源 。 結 構 化 的 方 法 利 用 Distributed ... See full document
10
Mining association rules with multiple minimum supports using maximum constraints
... Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific ...threshold for all the items or ...association rules under this ... See full document
13
Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints
... association rules under this ...association rules and large itemsets obtained by the proposed mining algorithm using the maximum constraint are also less than those using the minimum ... See full document
6
Fuzzy data mining for interesting generalized association rules
... of mining generalized association rules for quantitative ...generalized rules mining algorithm for extracting implicit knowledge from transactions stored as quantitative ... See full document
33
Mining Formative Evaluation Rules Using Web-Based Learning Portfolios for Web-Based Learning Systems
... important for both teachers and learners. Learning performance assessment using learning portfolios or web server log data is becoming an essential research issue in web-based learning, owing to the rapid ... See full document
19
Fast Packet Classification Using Multi-Dimensional Encoding
... N rules, a maximum of 2N + 1 non-overlapping vector intervals are created on each ...bitmap for a 2-dimensional rule table. The ten rules are represented by 2-dimensional ...interval. For ... See full document
10
Mining Multi-Dimension Rules in Multiple Database Segmentation-on Examples of Cross Selling
... 一個多重資料區間之多維度規則挖掘 ─ 以共同行銷為例 Mining Multi-Dimension Rules in Multiple Database Segmentation ─ on Examples of Cross Selling.[r] ... See full document
1
An Effective Algorithm for Mining Association Rules with Multiple Thresholds
... iterations for mining all frequent ...Then, for each iteration i≤ k, all frequent i-itemsets are computed by scanning database ...scanned for determining the support of all candidates in C i ... See full document
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Automated support specification for efficient mining of interesting association rules
... Abstract Mining association rules from large databases of business data is an important topic in data ...the mining of generalized association rules, however, assumed that the taxonomy of ... See full document
29
A DIAMOND method of inducing classification rules for biological data
... the rules with high rate of accuracy can be ...induced rules. Using integer programming techniques, Li and Chen [5] developed a multiple criteria method to induce classification ... See full document
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