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Decision Support Systems
Decision Support Systems

... Steps in designing a spreadsheet solution – Analysis Design the solution Implement the solution Refinement and maintenance ...
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Ch12

... words,” we have to be very careful about just what we are seeing. ...
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... - What question are you asking, exactly? - What are the possible answers, and what do they mean? ...
Supplementary Material S1
Supplementary Material S1

... The development of robust validation methods might be the most effective contribution of machine learning to statistics so far, especially when applied to psychology and related disciplines (e.g. Yarkoni & Westfall, 2016). Traditional statistical analyses are optimized to explain the data in the cur ...
Discussion of Should we sample a time series more frequently
Discussion of Should we sample a time series more frequently

... the slow-sample period. We also attained similar results when we increased the fast sample size and when the slow rate data was sampled at every 4, 5 and 6 time points. In the paper, the authors focus on the slow-then-fast phenomenon in survey data. We are also aware of other research areas that fac ...
NOTE: Your selected records (to a maximum of 500
NOTE: Your selected records (to a maximum of 500

... feature requirements, but also have to meet time constrains and spatial constraints of cyber physical systems. Big data driven cyber physical systems have to deal with time-constrained data and timeconstrained transactions. They are now being used for several applications such as automobile and inte ...
Basic Principles of Data Mining
Basic Principles of Data Mining

... Basic concepts of data mining shall be explained in the following. The concepts used are part of different areas of mathematics. They are defined and illustrated as examples. One has to distinguish data of different types. According to this, the mathematical methods of data evaluation have to be des ...
Intro273AFall06
Intro273AFall06

... according to •The ability of a machine to improve its performance based on previous results. •The process by which computer systems can be directed to improve their performance over time. Examples are neural networks and genetic algorithms. •Subspecialty of artificial intelligence concerned with dev ...
Current state of learning analytics and educational data mining
Current state of learning analytics and educational data mining

... •  Latent  knowledge  es@ma@on  has  become   quite  successful…   –  Moving  from  ini@al  success  in  intelligent  tutors  for   math  and  other  well-­‐defined  domains   –  To  more  ill-­‐defined  domains  like  scien@fic  inquiry   ...
Yuan - GeoSpatial and GeoTemporal Informatics
Yuan - GeoSpatial and GeoTemporal Informatics

... What is missing (discuss areas not currently on the radar) • From space-time observations to spatiotemporal processes • Informatics framework to automate recognition of events and processes • Analysis of events and processes – Weather (obs > events > systems > severity) – Population (obs > migratio ...
Data Mining
Data Mining

... – Amazon.com, BOL (nl.bol.com), Proxis.nl, CDR.nl, gnod.net. ...
Learning of Compositional Hierarchies By Data-Driven Chunking Karl Pfleger
Learning of Compositional Hierarchies By Data-Driven Chunking Karl Pfleger

... CHs from data are scarce. We present an unsupervised technique for learning CHs by an on-line, bottom-up chunking process. At any point, the induced structure can make predictions about new data. Currently we work with with 1-dimensional, discreteposition data (sequential data but not necessarily di ...
ISSCC 2006 / SESSION 2 / BIOMEDICAL SYSTEMS / 2.5 2.5
ISSCC 2006 / SESSION 2 / BIOMEDICAL SYSTEMS / 2.5 2.5

... Over 14 million people worldwide suffer from blindness due to age related macular degeneration and retinitis pigmentosa. Blindness results from loss of photoreceptors, but other retinal neurons maintain an active connection to the brain. We are developing a chronic retinal implant in hopes of restor ...
Model Checking for Clinical Guidelines: An Agent
Model Checking for Clinical Guidelines: An Agent

... world, provides up to date values for data (together with the time of their measurement) when they are not already available from the database. It also stores data in the database, executes work actions and reports about their success or failure. The Database agent models the behaviour of the patien ...
APS Apr 16 2016 MetaNumber Cluster Presenetation .ppt
APS Apr 16 2016 MetaNumber Cluster Presenetation .ppt

... The dominant clusters can be linked into a supernet of all numerical information. The six basic metric units are extended with six new information & socioeconomic processing units. The MN system can be effective within a corporation or agency providing a competitive advantage The revolutionary analy ...
Extreme Data - The Center for Internet Research
Extreme Data - The Center for Internet Research

... We are faced with an unending stream of new products, information and data. In the past, products that only appealed to one in 35,000 people would have never made it to the store shelves, but today the Internet creates marketing channels that make this type of product viable. On Amazon we can find 2 ...
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... • A pairs with T; G with C to make unique and very long strings, called sequences • E.g., AATGACCAT codes for a different gene than GGGCCATAG would • Replication: RNA consists of A, G, C, and Uracil and has ribose instead of deoxyribose • Point is one can predict missing data, sometimes… ...
Bioinformatics & LIS
Bioinformatics & LIS

... • A pairs with T; G with C to make unique and very long strings, called sequences • E.g., AATGACCAT codes for a different gene than GGGCCATAG would • Replication: RNA consists of A, G, C, and Uracil and has ribose instead of deoxyribose • Point is one can predict missing data, sometimes… ...
Second S302 class session
Second S302 class session

... Speigel uses a neural network to prune its catalog mailing list to eliminate those who are unlikely to order again  The Fidelity Disciplined Equity Fund (Bradford Lewis) uses a neural network to select stocks that are undervalued ...
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D Data Mining and Knowledge Discovery in Databases

... Polytechnic Institute of Porto, ISCAP, Portugal & Algoritmi R&D Center, University of Minho, Portugal ...
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... words,” we have to be very careful about just what we are seeing. ...
UMD`s Exercise Physiology Laboratory
UMD`s Exercise Physiology Laboratory

... Then we remove the reference frame and get our subject hooked up to the oxygen analyzer and heart rate monitor. He also has insoles in that transmit his foot pressure during the data collection phase to another computer where it is recorded. ...
Introduction
Introduction

... (i.e., a specification that describes a data set and the operations on that data) An ADT is independent of any particular language or implementation technique. Formally, a data structure is an implementation of an ADT within a programming ...
Key Terms CODING: The act of reducing large amounts of raw data
Key Terms CODING: The act of reducing large amounts of raw data

... process, event, or situation by referring to the specific combination of factors that came together in a particular time and place. (p.484) NEGATIVE EVIDENCE: The idea that what is missing or not said can often be quite valuable when analyzing qualitative data. (p. 486) MULTIPLE SORTING: An analytic ...
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Data (Star Trek)

Lieutenant Commander Data (/ˈdeɪtə/ DAY-tə) is a character in the fictional Star Trek universe portrayed by actor Brent Spiner. He appears in the television series Star Trek: The Next Generation and the feature films Star Trek Generations, Star Trek: First Contact, Star Trek: Insurrection and Star Trek: Nemesis.An artificial intelligence and synthetic life form designed and built by Doctor Noonien Soong, Data is a self-aware, sapient, sentient, and anatomically fully functional android who serves as the second officer and chief operations officer aboard the Federation starships USS Enterprise-D and USS Enterprise-E. His positronic brain allows him impressive computational capabilities. Data experienced ongoing difficulties during the early years of his life with understanding various aspects of human behavior and was unable to feel emotion or understand certain human idiosyncrasies, inspiring him to strive for his own humanity. This goal eventually led to the addition of an ""emotion chip"", also created by Soong, to Data's positronic net. Although Data's endeavor to increase his humanity and desire for human emotional experience is a significant plot point (and source of humor) throughout the series, he consistently shows a nuanced sense of wisdom, sensitivity, and curiosity, garnering immense respect from his peers and colleagues.Data is in many ways a successor to the original Star Trek‍ '​s Spock (Leonard Nimoy), in that the character offers an ""outsider's"" perspective on humanity, even briefly working with Spock in the two-part Next Generation episode, Unification.
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