Chapter 4. Data Preprocessing Why preprocess the data? Data in
... Equal-depth (frequency) partitioning Divides the range into N intervals, each containing approximately same number of samples Good data scaling Managing categorical attributes can be tricky ...
... Equal-depth (frequency) partitioning Divides the range into N intervals, each containing approximately same number of samples Good data scaling Managing categorical attributes can be tricky ...
GMX902 Series Flyer
... Integrated Solution When combined with the Leica GNSS Spider advanced GNSS processing software for coordinate calculation and raw data storage and the Leica GeoMoS or Leica SpiderQC monitoring software for analysis of movements and calculation of limit checks, the Leica GMX902 Series unfolds its ful ...
... Integrated Solution When combined with the Leica GNSS Spider advanced GNSS processing software for coordinate calculation and raw data storage and the Leica GeoMoS or Leica SpiderQC monitoring software for analysis of movements and calculation of limit checks, the Leica GMX902 Series unfolds its ful ...
9781449699390_TB_ch07 - Department of Computer Science
... Ans: There are many ways to measure the distance between two data points. For our purposes here, we use a simple measure of distance known as Euclidean distance. Consider the two data points, A and B. If we assume that point A has location X1 and point B has location X2, then the distance between th ...
... Ans: There are many ways to measure the distance between two data points. For our purposes here, we use a simple measure of distance known as Euclidean distance. Consider the two data points, A and B. If we assume that point A has location X1 and point B has location X2, then the distance between th ...
Pre-processing for Data Mining
... – redundant data can easily result from the merging of data streams – occurs when essentially identical data appears in multiple variables, e.g. “date_of_birth”, “age” – if not actually identical, will still slow building of model – if actually identical can cause significant numerical computation p ...
... – redundant data can easily result from the merging of data streams – occurs when essentially identical data appears in multiple variables, e.g. “date_of_birth”, “age” – if not actually identical, will still slow building of model – if actually identical can cause significant numerical computation p ...
Time-series Bitmaps - University of California, Riverside
... The increasing interest in time series data mining in the last decade has resulted in the introduction of a variety of similarity measures, representations and algorithms. Surprisingly, this massive research effort has had little impact on real world applications. Real world practitioners who work w ...
... The increasing interest in time series data mining in the last decade has resulted in the introduction of a variety of similarity measures, representations and algorithms. Surprisingly, this massive research effort has had little impact on real world applications. Real world practitioners who work w ...
Solving a Big-Data Problem with GPU: The Network Traffic Analysis
... amount of text messages sent by a teenager in a month (4762), the monthly number of searches on Twitter, the world’s Internet traffic, among others. This can be applied not only to the daily activities developed directly on the Internet, but also to those related to the natural phenomena as the weat ...
... amount of text messages sent by a teenager in a month (4762), the monthly number of searches on Twitter, the world’s Internet traffic, among others. This can be applied not only to the daily activities developed directly on the Internet, but also to those related to the natural phenomena as the weat ...
Hybrid Cloud and Cluster Computing
... • Builds giant data centers with 100,000’s of computers; ~ 200-1000 to a shipping container with Internet access “Microsoft will cram between 150 and 220 shipping containers filled with data center gear into a new 500,000 square foot Chicago facility. This move marks the most significant, public use ...
... • Builds giant data centers with 100,000’s of computers; ~ 200-1000 to a shipping container with Internet access “Microsoft will cram between 150 and 220 shipping containers filled with data center gear into a new 500,000 square foot Chicago facility. This move marks the most significant, public use ...
preprocessing - Soft Computing Lab.
... • Some techniques – Binning methods – equal-width, equal-frequency – Entropy-based methods ...
... • Some techniques – Binning methods – equal-width, equal-frequency – Entropy-based methods ...
Multidimensional Access Methods: Important Factor for Current and
... categorized into either of them or their hybrid class. These MAMs can be derived from hashing techniques, space-filling curves and so on (see [GAE98], [OOI91] for an overview). In this section, we introduce some of the most prominent MAMs like that, which have been recently published. ...
... categorized into either of them or their hybrid class. These MAMs can be derived from hashing techniques, space-filling curves and so on (see [GAE98], [OOI91] for an overview). In this section, we introduce some of the most prominent MAMs like that, which have been recently published. ...
No Slide Title - School of Computing
... • No sense of order • Apples, oranges,… – Ordinal • Ordered in sequence • January, February, .. ...
... • No sense of order • Apples, oranges,… – Ordinal • Ordered in sequence • January, February, .. ...
Data Warehousing/Mining
... a transaction Example: Analyst may want to view sales data (measure) by geography, by time, and by product (dimensions) Dimensional modeling is a technique for structuring data around the business concepts ER models describe “entities” and ...
... a transaction Example: Analyst may want to view sales data (measure) by geography, by time, and by product (dimensions) Dimensional modeling is a technique for structuring data around the business concepts ER models describe “entities” and ...
Parallel Data Analysis - DROPS
... Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany ...
... Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany ...
Data Warehousing/Mining
... “A data warehouse is simply a single, complete, and consistent store of data obtained from a variety of sources and made available to end users in a way they can understand and use it in a business context.” -- Barry Devlin, IBM Consultant ...
... “A data warehouse is simply a single, complete, and consistent store of data obtained from a variety of sources and made available to end users in a way they can understand and use it in a business context.” -- Barry Devlin, IBM Consultant ...
a literature survey on sp theory of intelligence
... Value: Data value measures the usefulness of data in making decisions. Data science is exploratory and useful in getting to know the data, but analytic science encompasses the predicative power of big data. User can run certain queries against the data stored and this can deduct results from filtere ...
... Value: Data value measures the usefulness of data in making decisions. Data science is exploratory and useful in getting to know the data, but analytic science encompasses the predicative power of big data. User can run certain queries against the data stored and this can deduct results from filtere ...
The Stanford Data Warehousing Project
... below. Previously devised algorithms for view maintenance can be found in [1, 3, 5], and we have built upon these in our solutions. The problem of monitoring individual databases to detect relevant changes is central to the area of active databases, as represented in, e.g., [7, 9, 12]. We are exploi ...
... below. Previously devised algorithms for view maintenance can be found in [1, 3, 5], and we have built upon these in our solutions. The problem of monitoring individual databases to detect relevant changes is central to the area of active databases, as represented in, e.g., [7, 9, 12]. We are exploi ...
REPORT FROM THE 6th WORKSHOP ON EXTREMELY LARGE
... provenance in detailed prose. As new instruments and equipment have enabled scientists to collect more and different types of data, provenance has not caught up, except at the most sophisticated, large institutes, such as the National Center for Biotechnology Information. Wet lab results can vary dr ...
... provenance in detailed prose. As new instruments and equipment have enabled scientists to collect more and different types of data, provenance has not caught up, except at the most sophisticated, large institutes, such as the National Center for Biotechnology Information. Wet lab results can vary dr ...
Performance Controlled Data Reduction for Knowledge Discovery in
... If an attribute is nominal or already has discrete values it can be directly compressed by Huffman coding. If it is continuous, its quantization can greatly improve compression without loss of relevant knowledge. Using correction factors ξi, a proper Mj needs to be estimated to satisfy a quantizatio ...
... If an attribute is nominal or already has discrete values it can be directly compressed by Huffman coding. If it is continuous, its quantization can greatly improve compression without loss of relevant knowledge. Using correction factors ξi, a proper Mj needs to be estimated to satisfy a quantizatio ...
SAS Interface for Run-to-Run Batch Process Monitoring Using Real-time Data
... eleven parameters, each measured 588 times during the batch process. This yields a Y matrix with 6468 columns. The high correlation among these measurements due to their real-time nature implies that each element does not represent a unique piece of information. Rather, much of the information in a ...
... eleven parameters, each measured 588 times during the batch process. This yields a Y matrix with 6468 columns. The high correlation among these measurements due to their real-time nature implies that each element does not represent a unique piece of information. Rather, much of the information in a ...
The Stanford Data Warehousing Project
... sources of interest. These sources could include imagery, video, and text data, along with more traditional data sources such as relational tables, object-oriented structures, or files. Data that is of interest to the client(s) is copied and integrated into the data warehouse, depicted near the top ...
... sources of interest. These sources could include imagery, video, and text data, along with more traditional data sources such as relational tables, object-oriented structures, or files. Data that is of interest to the client(s) is copied and integrated into the data warehouse, depicted near the top ...
SPIRE-DP_Sep2012_Map..
... Applying the extended gain correction (not included in standard pipeline) may improve a map of extended emission (e.g. star formation regions) significantly. • Maps with stripes: • “Cooler burp” effect (uncorrected in standard pipeline) • Missed thermistor jumps • Problem that won’t be solved by rep ...
... Applying the extended gain correction (not included in standard pipeline) may improve a map of extended emission (e.g. star formation regions) significantly. • Maps with stripes: • “Cooler burp” effect (uncorrected in standard pipeline) • Missed thermistor jumps • Problem that won’t be solved by rep ...
Document
... its clients’ queries, outsourcing encrypted data and associated difficult problems dealing with querying over encrypted domain were discussed in research literature. Existing System As data generation is far outpacing data storage it proves costly for small firms to frequently update their hardware ...
... its clients’ queries, outsourcing encrypted data and associated difficult problems dealing with querying over encrypted domain were discussed in research literature. Existing System As data generation is far outpacing data storage it proves costly for small firms to frequently update their hardware ...
Introduction
... Analyze the distribution of syringes found in the most active hard-drug use neighborhood of Montréal, Canada. Research Questions • Where do “needle-drops” cluster? • Why are some areas more affected than others? • How effective are current interventions (drop-boxes, NEP)? Ultimate Goals • Understand ...
... Analyze the distribution of syringes found in the most active hard-drug use neighborhood of Montréal, Canada. Research Questions • Where do “needle-drops” cluster? • Why are some areas more affected than others? • How effective are current interventions (drop-boxes, NEP)? Ultimate Goals • Understand ...
Dense-Region Based Compact Data Cube
... Question 2: how should we allocate disk space in approximating the dense regions? – Choice 1: allocate disk space equally to each dense regions. – Choice 2: allocate disk space according to the sizes of dense regions. – Choice 3: order the wavelet coefficients of all the dense regions and keep the m ...
... Question 2: how should we allocate disk space in approximating the dense regions? – Choice 1: allocate disk space equally to each dense regions. – Choice 2: allocate disk space according to the sizes of dense regions. – Choice 3: order the wavelet coefficients of all the dense regions and keep the m ...
Entity Disambiguation for Wild Big Data Using Multi-Level Clustering
... For the first level of clustering we use Latent Dirichlet Allocation (LDA) [3] topic modeling, to form coarse clusters of entities based on their fine-grained entity types. We use LDA to map unknown entities to known entity types to predict the unknown entity types. We shared preliminary results of ...
... For the first level of clustering we use Latent Dirichlet Allocation (LDA) [3] topic modeling, to form coarse clusters of entities based on their fine-grained entity types. We use LDA to map unknown entities to known entity types to predict the unknown entity types. We shared preliminary results of ...
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.