By Lei Chen, Yan Jia, Timos Sellis, Guanfeng Liu
This booklet constitutes the refereed complaints of the sixteenth Asia-Pacific convention APWeb 2014 held in Changsha, China, in September 2014. The 34 complete papers and 23 brief papers provided have been conscientiously reviewed and chosen from 134 submissions. The papers handle examine, improvement and complicated functions of large-scale information administration, net and seek applied sciences, and knowledge processing.
Read or Download Web Technologies and Applications: 16th Asia-Pacific Web Conference, APWeb 2014, Changsha, China, September 5-7, 2014. Proceedings PDF
Best data mining books
The 3 quantity set LNAI 4692, LNAI 4693, and LNAI 4694, represent the refereed complaints of the eleventh overseas convention on Knowledge-Based clever info and Engineering platforms, KES 2007, held in Vietri sul Mare, Italy, September 12-14, 2007. The 409 revised papers offered have been rigorously reviewed and chosen from approximately 1203 submissions.
Multimedia Data Mining and Analytics: Disruptive Innovation
This e-book offers clean insights into the leading edge of multimedia information mining, reflecting how the examine concentration has shifted in the direction of networked social groups, cellular units and sensors. The paintings describes how the background of multimedia information processing might be seen as a chain of disruptive options.
The best chance to privateness at the present time isn't the NSA, yet good-old American businesses. net giants, top outlets, and different corporations are voraciously collecting facts with little oversight from anyone.
In Las Vegas, no corporation is aware the price of information greater than Caesars leisure. Many millions of enthusiastic consumers pour throughout the ever-open doorways in their casinos. the key to the company’s good fortune lies of their one unmatched asset: they understand their consumers in detail via monitoring the actions of the overpowering majority of gamblers. They recognize precisely what video games they prefer to play, what meals they get pleasure from for breakfast, once they like to stopover at, who their favourite hostess can be, and precisely the way to retain them coming again for more.
Caesars’ dogged data-gathering equipment were such a success that they've grown to turn into the world’s greatest on line casino operator, and feature encouraged businesses of all types to ramp up their very own information mining within the hopes of boosting their exact advertising and marketing efforts. a few do that themselves. a few depend on info agents. Others truly input an ethical grey area that are meant to make American shoppers deeply uncomfortable.
We dwell in an age whilst our own details is harvested and aggregated even if we adore it or now not. And it truly is turning out to be ever more challenging for these companies that pick out to not have interaction in additional intrusive info amassing to compete with those who do. Tanner’s well timed caution resounds: definite, there are various merits to the loose movement of all this knowledge, yet there's a darkish, unregulated, and harmful netherworld besides.
This e-book constitutes the refereed court cases of the seventh overseas Workshop on computer studying in scientific Imaging, MLMI 2016, held at the side of MICCAI 2016, in Athens, Greece, in October 2016. The 38 complete papers provided during this quantity have been conscientiously reviewed and chosen from 60 submissions.
- Data Mining and Knowledge Discovery for Geoscientists
- Sports Data Mining
- Geospatial Abduction: Principles and Practice
- Mining eBay web services : building applications with the eBay API
- Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II
- RapidMiner: Data Mining Use Cases and Business Analytics Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Additional resources for Web Technologies and Applications: 16th Asia-Pacific Web Conference, APWeb 2014, Changsha, China, September 5-7, 2014. Proceedings
Example text
In our research, all data objects in an uncertain dataset are described using x-tuple model with their respective probabilities. We find that outliers in uncertain datasets are probabilistic. Neighbors of a data object are different in distinct possible worlds. Based on possible world and x-tuple models, we propose a new definition of top K relative outliers and the RP OS algorithm. In RP OS algorithm, all data objects are compared with each other to find the most probable outliers. Two pruning strategies are utilized to improve efficiency.
Lots of outlier detection algorithms in deterministic dataset have been proposed, such as model-based [3], index-based [4], distance-based [5], density-based algorithms [6] and so on. In these years, research has turned into uncertain datasets. Uncertainty is inherent in data collected in various applications, such as sensor networks, marketing research, and social science [7]. Sensors in a wireless network can be at different positions at different times with different probabilities. Many datasets published are deformed to hide information for privacy protection.
The determinism problem asks whether all terminating cleaning processes end up with the same repair. , a unique result). 3 Data Repairing Algorithms In this section, we will discuss several classes of data repairing solutions. 1). 3). 4). 1 Heuristic Algorithms A number of recent research [4,8,12] have investigated the data cleaning problem introduced in [3]: repairing is to find another database that is consistent and minimally differs from the original database. They compute a consistent database by using different cost functions for value updates and various heuristics to guide data repairing.