Wm Case Study

Prior to the ERISA the WPPDA required employers to make plan descriptions and annual financial reports available to the government and plan participants. Although this was meant to give employees a chance to keep an eye out on any abuse or mismanagement of their funds. The WPPDA was limited in scope and was one of the reasons ERISA was formed. ERISA provisions applied starting after January 1st, 1975. The act increased the information that was available to employees and beneficiaries. ERISA implemented a type of healthcare plan enforcement that requires employers to manage funds exclusively for plan participants and their best interests.

WFR and management met on June 16 to discuss strategy for upcoming contract negotiations. Items to focus on in negotiations: a three year contract; 2.5 percent maximum wage increase each year of contract; new language to support staff augmentation to reduce back-log or obtain special expertise; elimination of PTO buy/sell; maintain 75/25 medical cost share; and implement Connect 4 Performance reviews. Current labor agreement expires Sept

• Web logging, which enables us to collect the standard information your browser sends to every web site you visit - such as your IP address, browser type and language, and the site you came from - as well as the pages you visit and the links you click while using our sites and services.

After reviewing the ACA decision making model, the counselor would choose to discuss the purpose of treatment, the goals, procedures and techniques provided during the therapeutic relationship (Corey & Herlihy, 2006). Any testing or diagnosis needs to be explained as the client has a right to be an active participant. Implementation of the ACA Code of Ethics A.2.a Informed Consent which states clients have a right to choose and remain in the therapeutic relationship and counselors have an obligation to inform clients of the ongoing counseling process is imperative(ACA, 2005). At this juncture, the counselor would also want to refer to ACA Code of Ethics E.3.a which states counselors must explain the nature and purpose of assessments in a way that the clients can understand (ACA,

Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of the business.

The process in which the analysis of the user interaction with the website is carried out is called web analytics.

Abstract -Web mining is the use of Data mining frameworks to actually discover and concentrate data from web archives and administrations. Web mining is three sorts: Web use Mining, Web content Mining and Web structure Mining. Web utilization mining is the Process of finding information from the cooperation created by the clients in the types of access logs, program logs, intermediary server logs, client session information, treats. The web server log document naturally made and kept up by a server comprising of a rundown of exercises it performed. The proposed framework is intended for website page forecast in suggestion framework and also it is useful for the investigation of web mining calculation to get incessant consecutive access design from the web log document on the web server. After the cleaning, and applying fuzzy, c means clustering and Association rules, the outcomes of the effective calculation of web log access are inaccurate.

Association rule mining is a major pattern discovery technique [5]. Every user leaves traces of information behind his every action which reveals his behavior. In web usage mining the web server logs collects all

A web crawler is a program which can discover and read all HTML pages and documents on the websites in order to index the contents and build a search engine ,as defined previously in Chapter One.Other terms used for a crawler are a web spider ,an ant or an automatic indexer [1] .Web crawlers have been used in some sites and is the main component of web search engines. Its function is to update web contents or indexes by copying all the pages they visit for later processing by a search engine. Systems assemble a corpus of web pages, index them, and allow users to issue queries against the index and the web pages matching these queries[2].There is another use of crawler called web achieving,for instance internet achieve, in this case a large number of sets of web pages will be collected and archived,at a regular times[4].Web crawlers are used to discover and collect data from pages lacking hard pieces of data mining[6],otherwise there will be a lot of challenges for web crawling to fetch the contents.

information about your PC and about your visits to and utilization of this site including your IP address, land area, program sort and form, working framework, referral source, length of visit, site hits and site route ways.

Data mining techniques can be mainly divided into three categories: Web structural mining, Web Content mining and web usage mining. Web structural mining is used to discover structure from data available on web like hyperlinks and documents. It can be helpful to the user for navigating within documents as mining can be done to retrieve intra and inter hyperlinks and DOM structure out of documents. Web Content mining can be used to extract information from the data available on web like texts, videos, images, audio files etc. Web usage mining is the application of data mining techniques to discover interesting usage patterns from web usage data, in order to understand and better serve the needs of web-based applications (Srivastava, Cooley, Deshpande, and Tan 2000). Websites or usage data takes user’s available information and browsing history, location of user etc. as input for mining information. Web usage mining can be further divided into three categories depending upon the type of data used for mining: web server logs, application server, application level logs. Web usage mining can be highly helpful in mining the data for web applications and thus helping development in fields like E-Commerce. It can be helpful to discover usage patterns from Web data, thus helping serve better the needs of Web-based applications. Web usage mining can be categorized into three different phases: Preprocessing, Pattern Discovery and Pattern Analysis. I believe, this

Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as

The logs files are maintained by the web server by the activity of the client who accesses the web server for a web site through the browser. The information can be written by the site owner, gleaned from the other web sites or other sources or contributed by users. The sample web log dataset are:

Abstract- Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as Electronic commerce, E-learning, E-government, E-policies, E-democracy, Electronic business, security and crime investigation and digital library. Retrieving the required web page from the web efficiently and effectively becomes a challenging task because web is made up of unstructured data, which delivers the

The frequently occurring patterns in the data set are known as the frequent patterns. For instance, a subset of items from the data set such as bread and butter appearing frequently in the transactions can be called as a frequent item set. A web log file also provides a lot of information about the web users and their behavior. Association rule is the widely used data mining technique which can be applied to the web data as well to discover frequent