The invention discloses a teenager group-oriented character and image data filtering method and system. According to the filtering method and the filtering system, by preprocessing the internet page data, and judging whether a result obtained through the data preprocessing belongs to the teenager data or not, judging whether the result belongs to the low-quality data or not, judging whether the result is suitable for the teenagers to watch or not and the like, the popular network characters and pictures are excluded on the basis of the conventional data filtering. The method has the advantagesthat an HTML visual blocking technology is introduced, and the bad information in an internet page is fully mined, through the big data training, the JS codes containing malicious jumps are mined, and the extremely high data purification capacity is achieved; the data which the teenagers are not interested in are filtered out, and the information of specific content is transmitted to the teenagers, so that the teenagers can effectively draw the useful information on the Internet within the limited time, and from the perspective of teenagers, the data on the internet page is more active, healthy and positive.

Teenager group-oriented character and image data filtering method and system

The invention discloses a double-granularity noise log filtering method based on an incidence relation. According to the method, the mixed dependency is obtained through calculation based on the localdependency and the global dependency, and the fine-grained filtering of the noise events in logs and the coarse-grained filtering of the noise tracks can be achieved at the same time through the method. Compared with a traditional log filtering method, the log filtering method has the advantages that a double-granularity filtering mechanism is adopted, different filtering mechanisms are used fordifferent noise situations, and therefore an excellent filtering effect is achieved under the condition that the original log data is reserved as much as possible; 2, the filtered log file is used forprocess mining, so that the precision of a process discovery model can be greatly improved, and the understandability of the model is enhanced.

Double-granularity noise log filtering method based on incidence relation

The embodiment of the invention provides a streaming event sequence matching method and device. The method comprises the following steps that when the event code capable of being successfully matchedwith the current sequence expression does not exist in the current event code queue, a new event is obtained, the new event is analyzed to obtain corresponding basic attributes and time attributes, the sequence expression is an expression composed of the event codes in sequence, and the current event code queue corresponds to the event queue; a corresponding event code is obtained according to thebasic attribute, and according to the time attribute of the new event, sorting insertion is carried out on the event code in a current event code queue to form a new event code queue; and event codematching in a new event code queue is performed according to the current sequence expression, and deleting the event corresponding to the successfully matched code after the matching is successful, thereby achieving the purposes of matching the event through the code sequence expression, simplifying the description cost of the sequence, improving the readability and flexibly supporting various complex semantic sequences.

Streaming event sequence matching method and device

The invention provides a hot word determination method and device, and the method comprises the steps: obtaining a hot word vector corresponding to each preset time period in a plurality of continuouspreset time periods; and performing aggregation processing on the plurality of hot word vectors corresponding to the plurality of continuous preset time periods to obtain hot words of the plurality of continuous preset time periods. The hot word determination method provided by the invention comprises the following steps: firstly, obtaining hot word vectors corresponding to a plurality of continuous preset time periods, the hot word vector corresponding to each preset time period being obtained through pre-calculation; carrying out aggregation processing on a plurality of hot word vectors corresponding to a plurality of continuous preset time periods and obtaining hot words of a plurality of continuous preset time periods; compared with the method that stator text distribution is directlypresumed in a plurality of continuous preset time periods through an LDA model, the method has the advantages that calculation of the hot words is achieved through sampling operation, the efficiencyis high, and meanwhile the real-time performance of the hot words is improved.

Hot word determination method and device

The invention provides a real-time event filtering method and a real-time event filtering system oriented to network stream data. The real-time event filtering method includes responding to requirements on loading event regulations to load the event regulations, and performing filtering on the network stream data according to the loaded event regulations. By means of event triggering for alternating the event regulations used by filtering text, the real-time event filtering method can adapt to various service types; a multi-channel mode is adopted to perform file filtering, so that various text data can share the event regulations; and the real-time event filtering can not only adapt to various text data, but also improve processing efficiency of the system.

Real-time event filtering method and real-time event filtering system oriented to network stream data

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Mo Yi

Author Tools

Chat about Author

Papers

Real-time event filtering method and real-time event filtering system oriented to network stream data