Information#
Table of Contents#
Resources#
[ y ]
05-25-2022. Computerphile. “Why Information Theory is Important - Computerphile”.
Texts#
Battelle, John. (2005). The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture.
Croft, W. Bruce, Donald Metzler, & Trevor Strohman. (2015). Search Engines: Information Retrieval in Practice. Pearson. Home.
Greengrass, Ed. (2000). Information Retrieval: A Survey. Home.
Langville, Amy N. & Carl D. Meyer. (2006). Google’s PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press.
Manning, Christopher D., Prabhakar Raghavan, & Hinrich Schutze. (2008). Intrtoduction to Information Retrieval. Cambridge University Press. Home. Resources.
Teofili, Tommaso. (2019). Deep Learning for Search. Manning.
Van Rijsbergen, C. J. (1979). Information Retrieval. Home.
Witten, Ian, Marco Gori, & Teresa Numerico. (2006). Web Dragons: Inside the Myths of Search Engine Technology.
Figures#
[ w ]
1911-1996Birkhoff, Garrett[ w ]
1964-----Floridi, Luciano[ w ]
---------Giles, C. Lee [ h ][ PSU IST 441 ][ w ]
1903-1987Kolmogorov, Andrey[ w ]
1889-1976Nyquist, Harry[ w ]
1839-1914Peirce, Charles Sanders[ w ]
1916-2001Shannon, Claude[ w ]
1948. “A Mathematical Theory of Communication”.[ w ]
1949. The Mathematical Theory of Communication.
[ w ]
1937-2017Willie, Rudolf
Terms#
[ w ] Additive White Gaussian Noise (AWGN)
[ w ] Algorithmic Information Theory
[ w ] Channel Capacity
[ w ] Communication Channel
[ w ] Corpus
[ w ] Entropy
[ w ] Formal Concept Analysis (FCA)
[ w ] Hartley
[ w ] Informatics
[ w ] Information Age
[ w ] Information Content
[ w ] Information Engineering
[ w ] Information Ethics
[ w ] Information History
[ w ] Information Logistics
[ w ] Information Processing
[ w ] Information Overload
[ w ] Information Retrieval (IR)
[ w ] Information Science
[ w ] Information System
[ w ] Information Technology (IT)
[ w ] Information Theory
[ w ] Information Theory History
[ w ] Information Visualization
[ w ] Information-Theoretic Security
[ w ] Infosphere
[ w ] Kolmogorov Complexity
[ w ] Logic of Information
[ w ] Mutual Information
[ w ] Noise
[ w ] Noiseless Coding Theorem
[ w ] Noisy-Channel Coding Theorem
[ w ] Ontology
[ w ] Philosophy of Information
[ w ] Quantities of Information
[ w ] Search Engine
[ w ] Self-Information
[ w ] Shannon
[ w ] Shannon Entropy
[ w ] Shannon Information
[ w ] Shannon’s Source Coding Theorem
[ w ] Shannon’s Theorem
[ w ] Shannon-Hartley Theorem
[ w ] Signal
[ w ] Signal-Flow Graph
[ w ] Surprisal
[ w ] Transmission Medium