اسلاید پاورپوینت: استخراج معدن (mining) ، فاصلهای (spatial) و الگوریتم (algorithm)…

 

عناوین اصلی استخراج شده از این فایل پاورپوینت

عناوین اصلی استخراج شده از این فایل پاورپوینت

● Multimedia Data Mining
● Data Mining
● Multimedia Data Mining
● Definitions
● Information model
● Generalizing Spatial and Multimedia Data
● What Is a Spatial Database System?
● Modeling Spatial Objects
● Modeling Single Objects: Point, Line and Region
● Spatial Association Analysis
● Progressive Refinement Mining of Spatial Association Rules
● Mining Spatial Co-location Rules
● Spatial Autocorrelation
● Spatial Autocorrelation (cont’d)
● Spatial Classification
● Spatial Trend Analysis
● Spatial Cluster Analysis
● Constraints-Based Clustering
● Constrained Clustering: Planning ATM Locations
● Mining Spatiotemporal Data
● Analysis: Mining Anomaly in Moving Objects
● Framework: Motif-Based Feature Analysis
● Movement Motifs
● Motif Expression Attributes
● Motif-Oriented Feature Space
● Similarity Search in Multimedia Data
● Queries in Content-Based Retrieval Systems
● Approaches Based on Image Signature
● Wavelet Analysis
● One Signature for the Entire Image?
● Multidimensional Analysis of Multimedia Data
● Multi-Dimensional Search in Multimedia Databases
● Multi-Dimensional Analysis in Multimedia Databases
● Mining Multimedia Databases
● Mining Multimedia Databases in
● Classification in MultiMediaMiner
● Mining Associations in Multimedia Data
● Mining Multimedia Databases
● Challenge: Curse of Dimensionality
● Summary

نوع زبان : انگلیسی حجم : ۱٫۷۲ مگا بایت
نوع فایل : اسلاید پاورپوینت تعداد اسلایدها: ۴۳ صفحه
زمان استخراج مطلب : ۲۰۱۸/۱۱/۰۲ ۰۹:۱۲:۱۰ پسوند فایل : ppt

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در صورتی که محتوای فایل ارائه شده با عنوان مطلب سازگار نبود یا مطلب مذکور خلاف قوانین کشور بود لطفا در بخش دیدگاه (در پایین صفحه) به ما اطلاع دهید. جهت جستجوی پاورپوینت های بیشتر بر روی اینجا کلیک کنید.

این مطلب در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۹:۱۲:۱۰ به صورت خودکار استخراج شده است. در صورت اعلام عدم رضایت تهیه کننده ی آن، طبق قوانین سایت از روی وب گاه حذف خواهد شد. همچنین این مطلب برگرفته از وب سایت زیر است و مسئولیت انتشار آن با منبع اصلی است.

http://www.csie.ntnu.edu.tw/~violet/MS96/mm_mining.ppt

بخشی از محتوای متن استخراج شده از این فایل ppt

بخشی از محتوای متن استخراج شده از این فایل ppt

data mining principles and algorithms multimedia data mining data mining principles and algorithms data mining data mining definition a class of database applications that look for hidden patterns in a group of data. finding rules of the game knowing the moves of the game unifying framework for data representation and problem solving in order to learn and discover from large amounts of different types of data. data mining principles and algorithms data mining principles and algorithms multimedia data mining multimedia data types any type of information medium that can be represented processed stored and transmitted over network in digital form multi lingual text numeric images video audio graphical temporal relational and categorical data. relation with conventional data mining term data mining principles and algorithms data mining principles and algorithms definitions subfield of data mining that deals with an extraction of implicit knowledge multimedia data relationships or other patterns not explicitly stored in multimedia databases influence on related interdisciplinary fields databases – extension of the kdd rule patterns information systems – multimedia information analysis and retrieval – content based image and video search and efficient storage organization data mining principles and algorithms data mining principles and algorithms information model data segmentation multimedia data are divided into logical interconnected segments objects pattern extraction mining and analysis procedures should reveal some relations between objects on the different level knowledge representation incorporated linked patterns data mining principles and algorithms data mining principles and algorithms data mining principles and algorithms generalizing spatial and multimedia data spatial data generalize detailed geographic points into clustered regions such as business residential industrial or agricultural areas according to land usage require the merge of a set of geographic areas by spatial operations image data extracted by aggregation and or approximation size color shape texture orientation and relative positions and structures of the contained objects or regions in the image music data summarize its melody based on the approximate patterns that repeatedly occur in the segment summarized its style based on its tone tempo or the major musical instruments played data mining principles and algorithms data mining principles and algorithms what is a spatial database system geometric geographic or spatial data space related data example geographic space ۲ d abstraction of earth surface vlsi design model of human brain ۳ d space representing the arrangement of chains of protein molecule. spatial database system vs. image database systems. image database system handling digital raster image e.g. satellite sensing computer tomography may also contain techniques for object analysis and extraction from images and some spatial database functionality. spatial geometric geographic database system handling objects in space that have identity and well defined extents locations and relationships. data mining principles and algorithms data mining principles and algorithms modeling spatial objects what needs to be represented two important alternative views single objects distinct entities arranged in space each of which has its own geometric description modeling cities forests rivers spatially related collection of objects describe space itself about every point in space modeling land use partition of a country into districts data mining principles and algorithms data mining principles and algorithms modeling single objects point line and region point location only but not extent line or a curve usually represented by a polyline a sequence of line segment moving through space or connections in space roads rivers cables etc. region something having extent in ۲d space country lake park . it may have a hole or consist of several disjoint pieces. data mining principles and algorithms data mining principles and algorithms spatial association analysis spatial association rule a  b s c a and b are sets of spatial or non spatial predicates topological relations intersects overlaps disjoint etc. spatial orientations left of west of under etc. distance information close to within distance etc. s is the support and c is the confidence of the rule examples ۱ is a x large town ^ intersect x highway ® adjacent to x water ۷ ۸۵ ۲ what kinds of objects are typically located close to golf courses data mining principles and algorithms data mining principles and algorithms progressive refinement mining of spatial association rules hierarchy of spatial relationship g close to near by touch intersect contain etc. first search for rough relationship and then refine it two step mining of spatial association step ۱ rough spatial computation as a filter using mbr or r tree for rough estimation step۲ detailed spatial algorithm as refinement apply only to those objects which have passed the rough spatial association test no less than min support data mining principles and algorithms data mining principles and algorithms mining spatial co location rules co location rule is similar to association rule but explore more relying spatial auto correlation it leads to efficient processing it can be integrated with progressive refinement to further improve its performance spatial co location mining idea can be applied to clustering classification outlier analysis and other potential mining tasks data mining principles and algorithms data mining principles and algorithms spatial autocorrelation spatial data tends to be highly self correlated example neighborhood temperature items in a traditional data are independent of each other whereas properties of locations in a map are often auto correlated . first law of geography everything is related to everything but nearby things are more related than distant things. data mining principles and algorithms data mining principles and algorithms spatial autocorrelation cont’d data mining principles and algorithms data mining principles and algorithms methods in classification decision tree classification naïve bayesian classifier boosting neural network logistic regression etc. association based multi dimensional classification example classifying house value based on proximity to lakes highways mountains etc. assuming learning samples are independent of each other spatial auto correlation violates this assumption popular spatial classification methods spatial auto regression sar markov random field mrf spatial classification data mining principles and algorithms data mining principles and algorithms function detect changes and trends along a spatial dimension study the trend of non spatial or spatial data changing with space application examples observe the trend of changes of the climate or vegetation with increasing distance from an ocean crime rate or unemployment rate change with regard to city geo distribution spatial trend analysis data mining principles and algorithms data mining principles and algorithms spatial cluster analysis mining clusters—k means k medoids hierarchical density based etc. analysis of distinct features of …

کلمات کلیدی پرکاربرد در این اسلاید پاورپوینت: استخراج معدن (mining), فاصلهای (spatial), الگوریتم (algorithm), عنصر (principle), مقصود (object), فضایی (space), حل (analysis), شمایل (image), حکمرانی (rule),

این فایل پاورپوینت شامل ۴۳  اسلاید و به زبان انگلیسی و حجم آن ۱٫۷۲ مگا بایت است. نوع قالب فایل ppt بوده که با این لینک قابل دانلود است. این مطلب برگرفته از سایت زیر است و مسئولیت انتشار آن با منبع اصلی می باشد که در تاریخ ۲۰۱۸/۱۱/۰۲ ۰۹:۱۲:۱۰ استخراج شده است.

http://www.csie.ntnu.edu.tw/~violet/MS96/mm_mining.ppt

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