明港酉铝信用担保有限公司

  • 法律圖書館

  • 新法規(guī)速遞

  • .大數(shù)據(jù)知識圖譜:數(shù)據(jù)經(jīng)濟的基礎概念和制度
    編號:85625
    書名:.大數(shù)據(jù)知識圖譜:數(shù)據(jù)經(jīng)濟的基礎概念和制度
    作者:高富平
    出版社:法律
    出版時間:2020年8月
    入庫時間:2020-10-14
    定價:59元
    特價:47.2元,80折,省11.8元!
    該書暫缺

    圖書內(nèi)容簡介

    隨著信息通信技術(shù)的升級發(fā)展和普遍應用,人類進入萬物互聯(lián)的泛網(wǎng)絡時代。網(wǎng)絡是社會的基礎性設施,數(shù)據(jù)成為社會的基礎性資源,人工智能正在成為人類知識或智慧的新生產(chǎn)方式,數(shù)據(jù)驅(qū)動正在重構(gòu)社會分工體系、社會關(guān)系和發(fā)展方式,人類社會正在經(jīng)歷歷史上偉大的變革。本書勾勒出數(shù)據(jù)驅(qū)動發(fā)展的大變革時代的基礎話語體系和正在形成的數(shù)據(jù)保護和利用的制度規(guī)則,是數(shù)據(jù)經(jīng)濟與法律的基礎讀物,可供各界參考和閱讀。

    圖書目錄

    "目錄
    第1章數(shù)據(jù)基礎
    §1.大數(shù)據(jù)/Big Data
    §2.人工智能/Artificial Intelligence
    §3.云計算/Cloud Computing
    §4.算法/Algorithm
    §5.區(qū)塊鏈/Blockchain
    §6.DIKW金字塔/DIKW Pyramid
    §7.信息自由/Freedom of Information
    §8.信息權(quán)/Right to Information
    §9.網(wǎng)絡/Network
    §10.物聯(lián)網(wǎng)/Internet of Things
    §11.智能制造/Intelligent Manufacturing
    §12.網(wǎng)絡運營者/Internet Operator
    §13.元數(shù)據(jù)/Metadata
    §14.互聯(lián)網(wǎng)協(xié)議地址/IP Address
    §15.瀏覽器緩存/Cookies
    §16.流量數(shù)據(jù)/Traffic Data
    §17.數(shù)據(jù)流/Data Stream
    §18.數(shù)據(jù)集/Data Set
    §19.數(shù)據(jù)庫/Database
    §20.數(shù)據(jù)倉庫/Data Warehouse
    §21.數(shù)據(jù)保護/Data Protection
    §22.數(shù)據(jù)驅(qū)動/Data Driven
    §23.數(shù)據(jù)經(jīng)濟/Data Economy
    §24.知識經(jīng)濟/Knowledge Economy
    第2章個人數(shù)據(jù)
    §25.個人數(shù)據(jù)保護/Personal Data Protection
    §26.個人數(shù)據(jù)保護權(quán)/Right to Protection of Personal Data
    §27.隱私/Privacy
    §28.信息隱私/Information Privacy
    §29.個人數(shù)據(jù)/Personal Data
    §30.身份數(shù)據(jù)/ID Data
    §31.社會身份/Social Identity
    §32.生物身份/Biological Identity
    §33.數(shù)字身份/Digital Identity
    §34.屬性數(shù)據(jù)/Attribute Data
    §35.行為數(shù)據(jù)/Behaviour Data
    §36.關(guān)系數(shù)據(jù)/Relationship Data
    §37.群體數(shù)據(jù)/Group Data
    §38.個人可識別信息/Personally Identifiable Information(PII)
    §39.敏感個人數(shù)據(jù)/Sensitive Personal Information(SPI)
    第3章不同類型和性質(zhì)的數(shù)據(jù)
    §40.非個人數(shù)據(jù)/Non personal Data
    §41.機器產(chǎn)生的數(shù)據(jù)/Machine generated Data
    §42.地理空間數(shù)據(jù)/Geographic Data(Geo data)
    §43.政府數(shù)據(jù)/Government Data
    §44.政務數(shù)據(jù)/Data for Public Affairs
    §45.企業(yè)數(shù)據(jù)/Enterprise Data
    §46.商業(yè)數(shù)據(jù)/Business Data
    §47.生物數(shù)據(jù)/Biometric Data
    §48.基因數(shù)據(jù)/Genetic Data
    §49.健康數(shù)據(jù)/Health Data
    §50.醫(yī)療數(shù)據(jù)/Medical Data(Clinic Data)
    §51.員工信息/Employee Information
    §52.客戶信息/Customer Information
    §53.公共數(shù)據(jù)或公共信息/Public Data or Public Information
    §54.開放數(shù)據(jù)/Open Data
    §55.非公共數(shù)據(jù)/Non public Data
    §56.非公共個人數(shù)據(jù)/Non public Personal Data
    §57.私密數(shù)據(jù)或私密信息/Confidential Data or ConfidentialInformation
    §58.信用數(shù)據(jù)/Credit Data
    §59.公共信用信息/Public Credit Information
    第4章數(shù)據(jù)利用
    §60.數(shù)據(jù)主體/Data Subject
    §61.已識別人和可識別人/Identified and Identifiable Person
    §62.數(shù)據(jù)控制者/Data Controller
    §63.數(shù)據(jù)使用者/Data User
    §64.數(shù)據(jù)處理者/Data Processor
    §65.數(shù)據(jù)接收者/Data Recipient
    §66.數(shù)據(jù)使用/Data Use
    §67.數(shù)據(jù)分析/Data Analysis
    §68.數(shù)據(jù)挖掘/Data Mining
    §69.識別分析/Profiling
    §70.數(shù)據(jù)流通/Data Circulation
    §71.數(shù)據(jù)使用許可方式/Model of Data Licensing
    §72.數(shù)據(jù)查詢/Data Query
    §73.數(shù)據(jù)交換/Data Exchange
    §74.數(shù)據(jù)交易/Data Transaction
    §75.數(shù)據(jù)服務/Data Service
    §76.數(shù)據(jù)交易服務平臺/Data Exchange Platform
    §77.數(shù)據(jù)開放/Data Releasing
    §78.數(shù)據(jù)分享/Data Sharing
    §79.數(shù)據(jù)共享/Closed Data Sharing
    §80.政府信息公開/Government Information Publicity
    §81.政府信息共享/Government Information Sharing
    §82.政府數(shù)據(jù)開放/Government Data Releasing
    §83.信用報告機構(gòu)/Credit Reporting Agency(CRA)
    §84.大數(shù)據(jù)征信/Big Data Scoring
    第5章個人數(shù)據(jù)保護原則
    §85.正當信息準則/Fair Information Practices
    §86.OECD隱私指南/OECD Privacy Guidelines
    §87.個人數(shù)據(jù)處理原則/Principles for Personal Data Processing
    §88.合法性原則/Lawfulness of Processing
    §89.正當性原則/Fairness
    §90.準確性原則/Accuracy Principle
    §91.數(shù)據(jù)最小化原則/Data Minimization Principle
    §92.必要性原則/Principle of Necessity
    §93.有限使用/Limiting Use
    §94.透明/Transparency
    §95.個人參與/Individual Participation
    §96.責任原則/Accountability Principle
    §97.同意/Consent
    §98.知情同意/Informed Consent
    §99.數(shù)據(jù)控制者的合法利益/Legitimate Interests of Controller
    §100.商業(yè)需要/Business Need
    §101.積極同意/Affirmative Consent
    §102.選進規(guī)則/Opt in
    §103.選退規(guī)則/Opt out
    第6章個人數(shù)據(jù)主體權(quán)利
    §104.知情權(quán)/Right to be Informed
    §105.訪問權(quán)/Access Right
    §106.更正權(quán)/Right to Correct
    §107.拒絕權(quán)/Right to Object
    §108.刪除權(quán)/Right to Erasure
    §109.限制處理權(quán)/Right to Restriction of Processing
    §110.拒絕自動分析/Automated Individual Decision making
    §111.數(shù)據(jù)移轉(zhuǎn)權(quán)/Right to Data Portability
    §112.主體權(quán)利的民事救濟/Civil Relieves of Infringing Data Subjects Rights
    第7章個人數(shù)據(jù)利用行為
    §113.個人數(shù)據(jù)處理/Processing of Personal Data
    §114.采集與收集/Collection
    §115.數(shù)據(jù)收集/Data Collection
    §116.數(shù)據(jù)使用目的/Purpose of Data Use
    §117.身份識別/Identify
    §118.可識別性/Identifiability
    §119.標識符/Identifiers
    §120.直接標識符/Direct Identifiers
    §121.間接標識符/Indirect Identifiers
    §122.準標識符/Quasi Identifiers
    §123.再識別/Re identification
    §124.披露/Disclosure
    §125.業(yè)務聯(lián)絡信息豁免/Exemption of Business Contact Information
    §126.用戶、消費者和客戶/User,Consumer,Customer
    §127.行為廣告/Behavioral Advertising
    §128.直銷/Direct Marketing
    第8章個人數(shù)據(jù)保護制度和措施
    §129.通知/Notice
    §130.授權(quán)/Authorization
    §131.隱私主管/Chief Privacy Officer(CPO)
    §132.客戶身份數(shù)據(jù)庫/Customer Identification Database(CID)
    §133.數(shù)據(jù)聚合/Data Aggregation
    §134.匿名數(shù)據(jù)/Anonymous Data
    §135.假名數(shù)據(jù)/Pseudonymous Data
    §136.匿名化/Anonymization
    §137.數(shù)據(jù)脫敏/Data Masking
    §138.去身份/De identification
    §139.合作治理模式/Co regulatory Model
    §140.自治模式/Self Regulation Model
    §141.數(shù)據(jù)保護機構(gòu)/Data Protection Authority
    §142.數(shù)據(jù)保護影響評估/Data Protection Impact Assessment(DPIA)
    §143.隱私主動保護/Privacy by Design
    §144.隱私政策/Privacy Policy
    §145.隱私認證機制/Privacy Seal Program
    §146.可驗證的父母同意/Verifiable Parental Consent
    第9章數(shù)據(jù)跨境流通
    §147.數(shù)據(jù)主權(quán)/Data Sovereignty
    §148.跨境數(shù)據(jù)流通/Cross border Data Transfers
    §149.重要數(shù)據(jù)/Important Data
    §150.跨境數(shù)據(jù)規(guī)制/Regulation of Cross border Data
    §151.充分保護水平/Adequate Level of Protection
    §152.標準條款合同/Standard Clause Contract
    §153.公司約束規(guī)則/Binding Corporate Rules(BCRs)
    §154.歐美“安全港”框架協(xié)議/Safe Harbor
    §155.歐美隱私護盾/The EU U.S. Privacy Shield
    §156.數(shù)據(jù)境內(nèi)存儲/Data Resident Storage
    §157.數(shù)據(jù)出境/Cross boader Data Transfer
    §158.數(shù)據(jù)出境安全評估制度/Security Assessment of Cross boader Data Transfer
    第10章數(shù)據(jù)安全
    §159.信息安全/Information Security
    §160.大數(shù)據(jù)安全/Data Security in Big Data
    §161.網(wǎng)絡安全/Cyberspace Security
    §162.隱私安全/Privacy Security
    §163.數(shù)據(jù)泄露/Data Breach
    §164.安全保障義務/Security Obligation
    §165.數(shù)據(jù)不當使用/Data Misuse
    §166.個人數(shù)據(jù)違法使用行為/Personal Data Using Against the Law
    §167.非法使用個人數(shù)據(jù)/Illegal Use of Personal Data
    §168.非法提供個人信息/Illegal Sharing of Personal Information
    §169.非法獲取公民個人信息/Illegal Collection of Personal Data
    §170.身份盜用/Identity Theft
    §171.關(guān)鍵信息基礎設施/Critical Information Infrastructure(CII)
    §172.網(wǎng)絡等級保護/Network Security Level Protection
    §173.安全事件管理/Security Event Management
    §174.安全審計/Security Audit
    §175.數(shù)據(jù)“灰黑產(chǎn)業(yè)”/Data Gray dark Industries
    第11章數(shù)據(jù)財產(chǎn)
    §176.財產(chǎn)/Property
    §177.知識產(chǎn)權(quán)/Intellectual Property
    §178.商業(yè)秘密/Trade Secret
    §179.法益保護/Legally Protected Interest
    §180.數(shù)據(jù)庫權(quán)/Database Right
    §181.信息財產(chǎn)/Information Property
    §182.數(shù)據(jù)財產(chǎn)/Data Property
    §183.提供的數(shù)據(jù)/Provided Data
    §184.觀察數(shù)據(jù)/Observed Data
    §185.派生數(shù)據(jù)/Derived Data
    §186.數(shù)據(jù)生產(chǎn)/Data Generating(Producing)
    §187.數(shù)據(jù)權(quán)利/Rights Related to Data
    §188.數(shù)據(jù)持有者權(quán)/Data Holders Rights
    §189.數(shù)據(jù)資產(chǎn)管理/Data Asset Management(DAM)
    §190.數(shù)據(jù)加工者權(quán)/Data Processors Rights
    §191.數(shù)據(jù)生產(chǎn)者權(quán)/Data Producers Rights
    第12章數(shù)據(jù)治理
    §192.數(shù)據(jù)質(zhì)量/Data Quality
    §193.數(shù)據(jù)清單/Data Inventory
    §194.數(shù)據(jù)要素/Data Elements
    §195.數(shù)據(jù)流圖/Data Flow Diagrams(DFDs)
    §196.數(shù)據(jù)生命周期管理/Data Lifecycle Management(DLM)
    §197.重復數(shù)據(jù)刪除/De duplication(De dupe)
    §198.數(shù)據(jù)治理/Data Governance
    §199.數(shù)據(jù)合規(guī)/Data Compliance
    §200.數(shù)據(jù)倫理/Data Ethics
    附錄
    附錄1國際社會個人數(shù)據(jù)保護重要法律文件
    附錄2世界各國及地區(qū)個人數(shù)據(jù)保護立法概況
    "

    Copyright © 1999-2024 法律圖書館

    .

    .

    哈密市| 南城县| 汉源县| 沅江市| 正安县| 财经| 津南区| 中牟县| 奉节县| 太谷县| 溧水县| 奎屯市| 诸暨市| 光山县| 阿鲁科尔沁旗| 建阳市| 大连市| 宁津县| 汝阳县| 石泉县| 伊吾县| 济阳县| 阿瓦提县| 鄂温| 义乌市| 广平县| 乌鲁木齐县| 连江县| 钟祥市| 瓮安县| 深州市| 承德县| 通州市| 威信县| 平武县| 崇义县| 壶关县| 儋州市| 延边| 崇阳县| 鄄城县|