Horsburgh_HIC_2014_8-17-2014
... Creek, Provo River • Watersheds with similar water source (high elevation snow) but different land use transitions • Measures aspects of water inputs and outputs and water quality over mountain-to-urban gradient • Mix of aquatic and terrestrial in situ and relocatable sensors ...
... Creek, Provo River • Watersheds with similar water source (high elevation snow) but different land use transitions • Measures aspects of water inputs and outputs and water quality over mountain-to-urban gradient • Mix of aquatic and terrestrial in situ and relocatable sensors ...
Video recording
... Individuals are concerned about confidentiality Companies are concerned about confidentiality Video-based Interaction Analysis is time consuming and expensive Video-based data is difficult to work with Incorporating screen-capture ups the ante on time, expertise and complexity Camera effects may ari ...
... Individuals are concerned about confidentiality Companies are concerned about confidentiality Video-based Interaction Analysis is time consuming and expensive Video-based data is difficult to work with Incorporating screen-capture ups the ante on time, expertise and complexity Camera effects may ari ...
Names of student and superviser
... Optional, but recommended: What other methods have already been used on your data, if any? What other techniques, besides data mining, could be used to analyze your data? Very briefly describe the experimental design and how it accomplished the stated objectives. What will the results be used ...
... Optional, but recommended: What other methods have already been used on your data, if any? What other techniques, besides data mining, could be used to analyze your data? Very briefly describe the experimental design and how it accomplished the stated objectives. What will the results be used ...
PatternsAndRelations..
... ordering pizza by the slice, since the slices of pizza can only be ordered in whole number values as either 0 for no pizza ordered, 1 for one slice, 2 for two slices,… then this data would be discrete. We do not order 1.2 slices of pizza! Right? ...
... ordering pizza by the slice, since the slices of pizza can only be ordered in whole number values as either 0 for no pizza ordered, 1 for one slice, 2 for two slices,… then this data would be discrete. We do not order 1.2 slices of pizza! Right? ...
ASA Guidelines for Undergraduate Programs in Statistical Science
... Survival analysis Generalized additive models Regression trees Statistical and machine learning techniques Spatial analysis Multivariate methods Regularization ...
... Survival analysis Generalized additive models Regression trees Statistical and machine learning techniques Spatial analysis Multivariate methods Regularization ...
Applied data mining
... 1. Download the plotting-and-viz.ipynb notebook from Canvas (under in-class-exercises/plottingand-viz.ipynb) or from GitHub. 2. Work through this (execute each line) – make sure you understand what’s going on! EXPERIMENT and change things, etc.! " - If anything is unclear or you just have questions ...
... 1. Download the plotting-and-viz.ipynb notebook from Canvas (under in-class-exercises/plottingand-viz.ipynb) or from GitHub. 2. Work through this (execute each line) – make sure you understand what’s going on! EXPERIMENT and change things, etc.! " - If anything is unclear or you just have questions ...
Remarks on Big Data Clustering (and its
... min over centers c: d(x, c) = distance(point x, center c) • But most of d(x, c) calculations are wasted as much larger than minimum value • Elkan (2003) showed how to use triangle inequality to speed up using relations like d(x, c) >= d(x,c-last) – d(c, c-last) c-last position of center at last iter ...
... min over centers c: d(x, c) = distance(point x, center c) • But most of d(x, c) calculations are wasted as much larger than minimum value • Elkan (2003) showed how to use triangle inequality to speed up using relations like d(x, c) >= d(x,c-last) – d(c, c-last) c-last position of center at last iter ...
Spatial Data Types
... Specification for SQL Currently: progressed to FDIS IS expected for the end of the year ...
... Specification for SQL Currently: progressed to FDIS IS expected for the end of the year ...
ITSdataFlyer
... Data that could be considered are: ❏ Traffic speed data ❏ Rainfall data ❏ Holidays and special events ...
... Data that could be considered are: ❏ Traffic speed data ❏ Rainfall data ❏ Holidays and special events ...
Agent Technology for Data Analysis
... agent” we can send it to the data, wide-area network bandwidth requirements become trivial • Analysis modules are typically small <10’s kBytes • HEP output is typically histograms (binned) and scatterplots, which are both small ...
... agent” we can send it to the data, wide-area network bandwidth requirements become trivial • Analysis modules are typically small <10’s kBytes • HEP output is typically histograms (binned) and scatterplots, which are both small ...
JOB OFFERING Data Mining Consultant
... linking marketing actions with data by designing data models, and exploiting data through predictive models, segmentation (clustering), reporting, graph analysis, etc. VADIS wants to be a leader in analytical decision systems by providing best services in this area as well as building the most exiti ...
... linking marketing actions with data by designing data models, and exploiting data through predictive models, segmentation (clustering), reporting, graph analysis, etc. VADIS wants to be a leader in analytical decision systems by providing best services in this area as well as building the most exiti ...
NDLE 2016
... The complexity of the task needs to be managed, typically by focusing on the key details The way previous projects/problems have been accomplished can help. ...
... The complexity of the task needs to be managed, typically by focusing on the key details The way previous projects/problems have been accomplished can help. ...
JOB OFFERING Data Mining Consultant
... linking marketing actions with data by designing data models, and exploiting data through predictive models, segmentation (clustering), reporting, graph analysis, etc. VADIS wants to be a leader in analytical decision systems by providing best services in this area as well as building the most exiti ...
... linking marketing actions with data by designing data models, and exploiting data through predictive models, segmentation (clustering), reporting, graph analysis, etc. VADIS wants to be a leader in analytical decision systems by providing best services in this area as well as building the most exiti ...
The Web of Data, and LarKC`s role in it
... MaRVIN scales by: •distribution (over many nodes) •approximation (sound but incomplete) •anytime convergence (more complete over time) ...
... MaRVIN scales by: •distribution (over many nodes) •approximation (sound but incomplete) •anytime convergence (more complete over time) ...
Business Intelligence
... of three major phases: intelligence, design and choice (Simon 1977), with the implementation phase added later. ...
... of three major phases: intelligence, design and choice (Simon 1977), with the implementation phase added later. ...
CSCI 491/595: Mining Big Data Spring 2016
... Text Book: There is no required textbook for this course. I will provide any required incidental reading electronically. ...
... Text Book: There is no required textbook for this course. I will provide any required incidental reading electronically. ...
Sonia Williams
... Sources of error in statistics • Assuming that an association is the same as causation. • The link may be ...
... Sources of error in statistics • Assuming that an association is the same as causation. • The link may be ...
2004 Data Warehouse
... all 13 operational databases so the entire city organization benefits from one person in one department discovering a problem ...
... all 13 operational databases so the entire city organization benefits from one person in one department discovering a problem ...
DataCube Discussion7/29
... return on investment –less infrastructure required by individual researchers at Universities, less duplicity of effort. ...
... return on investment –less infrastructure required by individual researchers at Universities, less duplicity of effort. ...
Ran_Wolff
... mining and to the emergence of important markets (e.g., homeland security, cross company production chain data .mining) for this type of applications This area of research is rapidly maturing. Unfortunately, recent studies all point to one major deficiency -- the lack of a well defined way of modeli ...
... mining and to the emergence of important markets (e.g., homeland security, cross company production chain data .mining) for this type of applications This area of research is rapidly maturing. Unfortunately, recent studies all point to one major deficiency -- the lack of a well defined way of modeli ...
February 2013 Seeking to fill the position of DATA ANALYST Food
... 4. Perform data entry, either manually or using scanning technology, when needed or required Data Reporting 1. In collaboration with others, interpret data and develop recommendations based on findings 2. Develop graphs, reports, and presentations of project results 3. Perform basic statistical anal ...
... 4. Perform data entry, either manually or using scanning technology, when needed or required Data Reporting 1. In collaboration with others, interpret data and develop recommendations based on findings 2. Develop graphs, reports, and presentations of project results 3. Perform basic statistical anal ...
Motion Analysis
... Basic recorded video Available & affordable in most settings Best with >1 camera; Need digital video camera(s) and computer Using still/pause & frame-by-frame playback; can measure some directly from video Video-based / software enhanced motion analysis systems (2-D) Typically 1 – 2 cameras ...
... Basic recorded video Available & affordable in most settings Best with >1 camera; Need digital video camera(s) and computer Using still/pause & frame-by-frame playback; can measure some directly from video Video-based / software enhanced motion analysis systems (2-D) Typically 1 – 2 cameras ...
for machine learning on genomic data
... genomics data. Hence, performing sophisticated supervised machine learning tasks, such as random forest, was not possible on the 80 million variants of the 1000 genomes. We have recently extended VariantSpark to include CursedForest, an alternative random forests algorithm capable of scaling not onl ...
... genomics data. Hence, performing sophisticated supervised machine learning tasks, such as random forest, was not possible on the 80 million variants of the 1000 genomes. We have recently extended VariantSpark to include CursedForest, an alternative random forests algorithm capable of scaling not onl ...
Geographic information system
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of spatial or geographical data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of Geoinformatics. What goes beyond a GIS is a spatial data infrastructure, a concept that has no such restrictive boundaries.In a general sense, the term describes any information system that integrates, stores, edits, analyzes, shares, and displays geographic information. GIS applications are tools that allow users to create interactive queries (user-created searches), analyze spatial information, edit data in maps, and present the results of all these operations. Geographic information science is the science underlying geographic concepts, applications, and systems.GIS is a broad term that can refer to a number of different technologies, processes, and methods. It is attached to many operations and has many applications related to engineering, planning, management, transport/logistics, insurance, telecommunications, and business. For that reason, GIS and location intelligence applications can be the foundation for many location-enabled services that rely on analysis and visualization.GIS can relate unrelated information by using location as the key index variable. Locations or extents in the Earth space–time may be recorded as dates/times of occurrence, and x, y, and z coordinates representing, longitude, latitude, and elevation, respectively. All Earth-based spatial–temporal location and extent references should, ideally, be relatable to one another and ultimately to a ""real"" physical location or extent. This key characteristic of GIS has begun to open new avenues of scientific inquiry.