Information retrieval

Study Report on Information retrieval and evaluating its usefulness Adarsh Murali Kashyap 800828747 Table of Contents 1. Introduction III 2. ETL process III 3. Creation of a warehouse using SQL statements VII 4. OLAP operations VII 5. Data Mining IX 5.1. Cluster Analysis IX 5.2. Association Rule Mining XII 5.3. Outcome of ETL, OLAP, Mining operations XII 6. Data Analytics and its usefulness for business XII 7. Usage of production logs to test and engineer

If in case if a client wants to update a security patch for its system and the mirror that was chosen for the update is not trustworthy, then in this case it’s a threat to the system as its vulnerability is exposed to third party. Private Information Retrieval (PIR) is basically a protocol that allows client to retrieve the

chain and the end user. Facilitating customer data is based on firms use customer data to identify them, tailor particular information to them etc. Main Distribution and Supply Chain Distribution The web 2.0 and other technology advances now enabled firms to find a wide variety of search engines to find sellers, services, people, location, product information, reviews etc. There are now a variety of Web search engines such as Kompas business directory, business.com, Yell etc. that

amounts of information. I found two different databases that will be helpful with my two areas of interest, healthcare management and clinical research. The first database is EBSCO. It is a database with a broad range of topics. It includes information on health care, corporations, business, government and includes links to public libraries as well as links to information that will be helpful for K-12 students. The second database is PubMed. Where EBSCO was a database filled with information on a

Not many people know that Google started out as BackRub, not the relaxing kind that you get at a spa. The idea for BackRub came from Larry Page looking for a topic to do his doctoral thesis on. Page decided to try and reverse engineer the World Wide Web for his thesis. Little did they know that were on the way to creating one best “Good to Great” companies of this century. As Jim Collins states in Good to Great that the companies that go from good to great are not looking for the quick fix and

Youtube videos, etc) about the Global Issue your team has selected. B. List them in alphabetical order using correct MLA or APA citation format. C. After each citation, please apply the CRAAP test to help determine if this is reliable information. D. For each of these three, after the CRAAP application, please write a 100-word summary in which you explain how you found it (include search terms and database), why you think it’s worth sharing with your teammates, and what facet of your

databases, making it easier to navigate vast amounts of information. I found two different databases that I feel will be helpful with my two areas of interest, healthcare management and clinical research. The first database is EBSCO. It is a database with a broad range of topics. It includes information on health care, corporations, business, government and military and includes links to public libraries as well as links to information that will be helpful for K-12 students. The second database

The authors[7] presented an approach in which ontological profiles are built. Ontology is considered to be a hierarchy of topics which is used to classify and categorise web pages. It is also used to identify the topics in which the particular user is interested. Ontology has some existing concepts to which interest scores are assigned. Keeping the reference ontology, these profiles are maintained and updated. With observing the ongoing behaviour, a spreading activation algorithm was proposed for

Talk about the unreliability of not being exposed to information that could broaden our worldwide view and possibly resolve pivotal democratic issues. This cycle of trying to consistently please the users is becoming evident within search organisations and has evolved with technology as algorithmic filters were introduced having an unbalanced and unethical filter. This invisible filter is now generating a “personal unique universe of information” (Pariser, 2011), for every individual user, enforcing

non-technical aspects of search engines and their uses is not uncharted territory. Depending on how widely one casts the net, one can find considerable relevant work in past literature across fields. For example, researchers in the areas of library and information science have been interested for a long time in how people find material using various interfaces and databases, and these projects are not unrelated to the questions addressed by the articles in this collection (for a review of some of this work