X-Compass: An XML Agent for Supporting User Navigation on the Web

Author(s):  
Salvatore Garruzzo ◽  
Stefano Modafferi ◽  
Domenico Rosaci ◽  
Domenico Ursino
Keyword(s):  
The Web ◽  
Author(s):  
Mark Levene ◽  
George Loizou

Navigation through the web, colloquially known as "surfing", is one of the main activities of users during web interaction. When users follow a navigation trail they often tend to get disoriented in terms of the goals of their original query and thus the discovery of typical user trails could be useful in providing navigation assistance. Herein, we give a theoretical underpinning of user navigation in terms of the entropy of an underlying Markov chain modelling the web topology. We present a novel method for online incremental computation of the entropy and a large deviation result regarding the length of a trail to realize the said entropy. We provide an error analysis for our estimation of the entropy in terms of the divergence between the empirical and actual probabilities. We then indicate applications of our algorithm in the area of web data mining. Finally, we present an extension of our technique to higher-order Markov chains by a suitable reduction of a higher-order Markov chain model to a first-order one.


Author(s):  
Asri Inna Khoirun Nissa ◽  
Ibnu Asror ◽  
Gede Agung Ari Wisudiawan

[Id]Website Igracias Universitas Telkom merupakan salah satu website di universitas Telkom yang sering digunakan oleh seluruh entitas Universitas Telkom. Pola pengunjungan web dapat digunakan untuk mengetahui halaman apa saja yang telah dikunjungi oleh user dalam suatu website. Salah satu ilmu yang mempelajari pola navigasi user agar mendapatkan suatu informasi yang bermanfaat adalah web usage mining. Pada penelitian ini algoritma yang digunakan adalah sequential pattern discovery using equivalence classes (SPADE). Algoritma SPADE diterapkan untuk mencari pola perilaku pengguna website dengan cara melakukan preprocessing data untuk menyaring informasi yang dibutuhkan. Dilanjutkan dengan pembentukan data transaksi dan perhitungan SPADE dengan mengkombinasikan itemset dan menghitung frequent-nya untuk mendapatkan rule yang kemudian dicari kekuatan setiap rule dengan menghitung lift ratio-nya.Kata kunci : web usage mining, SPADE.[En]Igracias Telkom University is one of the Telkom University website that are frequently used by the entire entity of the by all entities that exist at Telkom University. The pattern of the web can be used recursively to find out what pages have been visited by the user on a website. One of the study of the patterns of user navigation in order to obtain a useful information is a web usage mining. On this final project, the algorithm used is a sequential pattern discovery using equivalence classes (SPADE). The SPADE algorithm is applied to search behavior patterns by preprocessing data to find out the useful information or knowledge. Proceed with the establishment of the data transaction and calculation of the SPADE by combining itemset and calculate the frequent to get a rules which will then look for the strength of each rule by calculating the lift ratio.


2008 ◽  
Vol 11 (2) ◽  
pp. 83-85
Author(s):  
Howard Wilson
Keyword(s):  

2005 ◽  
Vol 8 (1) ◽  
pp. 16-18
Author(s):  
Howard F. Wilson
Keyword(s):  

1999 ◽  
Vol 3 (2) ◽  
pp. 6-6
Author(s):  
Barbara Shadden
Keyword(s):  

2008 ◽  
Vol 18 (1) ◽  
pp. 9-20 ◽  
Author(s):  
Mark Kander ◽  
Steve White

Abstract This article explains the development and use of ICD-9-CM diagnosis codes, CPT procedure codes, and HCPCS supply/device codes. Examples of appropriate coding combinations, and Coding rules adopted by most third party payers are given. Additionally, references for complete code lists on the Web and a list of voice-related CPT code edits are included. The reader is given adequate information to report an evaluation or treatment session with accurate diagnosis, procedure, and supply/device codes. Speech-language pathologists can accurately code services when given adequate resources and rules and are encouraged to insert relevant codes in the medical record rather than depend on billing personnel to accurately provide this information. Consultation is available from the Division 3 Reimbursement Committee members and from [email protected] .


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